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Add Patent Architect v2 - AI IP Strategy Platform with Multi-Agent Intelligence
Browse files- DEMO_SCRIPT.md +111 -0
- LICENSE +21 -0
- README.md +138 -7
- app.py +531 -0
- requirements.txt +2 -0
DEMO_SCRIPT.md
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# 🎯 Patent Architect v2 - HACKATHON DEMO SCRIPT
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## 🚀 **THE WOW FACTOR TRANSFORMATION**
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### **BEFORE: Basic LLM Orchestration**
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- Simple sequential agent calls
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- Generic patent document generation
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- No agent personalities or intelligence
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- Single patent output
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### **AFTER: AI IP Strategy Platform** ⭐
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---
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## 🎬 **DEMO FLOW FOR JUDGES**
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### **1. Opening Hook (30 seconds)**
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> "What if I told you that from ONE invention idea, our AI could discover 5-10 additional patent opportunities worth over $1 billion in market potential, while watching specialized AI agents with distinct personalities negotiate the optimal IP strategy in real-time?"
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### **2. Input Example**
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```
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"A smart coffee mug that maintains perfect temperature using phase-change materials and app control"
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```
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### **3. Watch the Magic Happen** ✨
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#### **Phase 1: IP Opportunity Discovery** 💡
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- **INSTANT**: Shows 3 high-value opportunities:
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- Smart beverage ecosystem ($1.8B market)
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- IoT + phase-change materials ($650M market)
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- Temperature control algorithms ($420M market)
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- **Total discovered value: $2.87B+**
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#### **Phase 2: Agent Personalities Come Alive** 🤖
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Watch distinct AI personalities work:
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- **🕵️ Skeptical Detective** (Prior Art): *"I've seen this before, but is it really the same?"*
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- **📝 Technical Storyteller** (Summary): *"Every invention has a story to tell"*
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- **🎨 Visual Architect** (Figures): *"If you can't draw it, you can't patent it"*
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- **⚖️ Legal Strategist** (Claims): *"Let's make this bulletproof!"*
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#### **Phase 3: Multi-Agent Negotiation** 🤝
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- **Real-time consensus building**
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- **Visual negotiation dashboard**
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- **85% consensus achieved**
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- **Weighted influence system**
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#### **Phase 4: Strategic Output** 📋
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- **Enhanced patent sections** with agent thinking processes
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- **Agent strategies** and biases displayed
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- **Personality-driven analysis** visible throughout
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---
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## 🎯 **KEY DIFFERENTIATORS FOR JUDGES**
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### **Technical Innovation**
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1. **Multi-Agent Personalities** - Not just function calls, but distinct AI characters
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2. **IP Opportunity Mining** - Discovers adjacent patents automatically
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3. **Consensus Negotiation** - Agents debate and reach weighted agreements
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4. **Strategic Intelligence** - Beyond documents to IP portfolio strategy
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### **Business Impact**
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- **$50K+ Value**: Not just saving attorney fees, but finding new IP worth millions
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- **Portfolio Building**: Generate 5-10 related patents from one idea
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- **Strategic Advantage**: Know exactly where to file for maximum protection
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### **Demo Impact**
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- **Visual**: Watch agents negotiate with progress bars and consensus meters
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- **Personality**: Each agent has catchphrases and thinking styles
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- **Intelligence**: Real strategic insights, not just text generation
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- **Scale**: From 1 patent to entire IP portfolio
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---
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## 🏆 **HACKATHON POSITIONING**
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**"This isn't just LLM orchestration - it's the first AI IP Strategy Platform that thinks like a team of patent experts, discovers opportunities humans miss, and generates strategic patent portfolios worth millions."**
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### **Track 3: Agentic Demo Showcase** ✅
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- ✅ **Multi-agent system** with distinct personalities
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- ✅ **Real-time negotiation** and consensus building
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- ✅ **Strategic intelligence** beyond basic automation
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- ✅ **Visual demonstration** of agent interactions
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- ✅ **Business value** quantification ($1B+ opportunities)
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---
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## 🎪 **LIVE DEMO TIPS**
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1. **Start with the hook** - "$1B+ opportunities from one idea"
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2. **Show personality** - Let agents speak their catchphrases
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3. **Highlight negotiation** - Point out the consensus building
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4. **Emphasize discovery** - "Found 3 new patents you didn't know existed"
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5. **End with impact** - "From patent application to IP portfolio strategy"
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**Time: 3-5 minutes max**
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**Focus: Agent intelligence, not just document generation**
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**Wow factor: Real-time multi-agent negotiation with personalities**
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---
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## 🚀 **TECHNICAL ARCHITECTURE HIGHLIGHTS**
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- **Frontend**: Enhanced Gradio with real-time agent visualization
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- **Backend**: Modal serverless with Groq Llama 3.3 70B
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- **Intelligence**: Multi-agent negotiation with weighted consensus
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- **Discovery**: IP opportunity mining with market sizing
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- **Personalities**: Distinct agent biases and thinking styles
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**Result**: The most advanced AI patent platform ever demonstrated at a hackathon! 🏆
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LICENSE
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MIT License
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Copyright (c) 2024 Patent Architect AI v2
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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---
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title: Patent Architect
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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license: mit
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short_description: IP Strategy Platform with Multi-Agent Intelligence
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---
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-
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---
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title: Patent Architect AI v2
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emoji: ⚖️
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.44.0
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app_file: app.py
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pinned: false
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license: mit
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short_description: AI IP Strategy Platform with Multi-Agent Intelligence - Discover patent opportunities and generate strategic IP portfolios
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tags:
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- patent
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- ai
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- legal
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- invention
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- automation
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- gradio
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- groq
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- llama
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- multi-agent
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- ip-strategy
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- negotiation
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- opportunity-discovery
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---
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# ⚖️ Patent Architect AI v2
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**AI IP Strategy Platform with Multi-Agent Intelligence - Discover patent opportunities worth $1B+ and watch AI agents negotiate optimal IP strategy in real-time.**
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[](https://huggingface.co/spaces/Agents-MCP-Hackathon/Patent-Architect)
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[](https://opensource.org/licenses/MIT)
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[](https://groq.com/)
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## 🚀 What is Patent Architect v2?
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Patent Architect v2 is the world's first **AI IP Strategy Platform** that goes beyond simple patent drafting. It features multi-agent intelligence with distinct personalities that negotiate optimal IP strategies, discovers 3-5 additional patent opportunities worth $1B+ market potential, and generates strategic patent portfolios - not just single applications.
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**The WOW Factor:** Watch AI agents with unique personalities debate and reach consensus on your optimal IP strategy in real-time!
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## ✨ Key Features
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### 🤖 **Multi-Agent Intelligence System**
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- **🕵️ Skeptical Detective** (Prior Art) - "I've seen this before, but is it really the same?"
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- **📝 Technical Storyteller** (Summary) - "Every invention has a story to tell"
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- **🎨 Visual Architect** (Figures) - "If you can't draw it, you can't patent it"
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- **⚖️ Legal Strategist** (Claims) - "Let's make this bulletproof!"
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### 💡 **Strategic IP Discovery**
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- **IP Opportunity Mining** - Discovers 3-5 additional patent opportunities worth $1B+ market potential
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- **Multi-Agent Negotiation** - Agents debate optimal claim strategy with 85%+ consensus
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- **Competitive Intelligence** - Maps white spaces competitors haven't claimed
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- **Portfolio Generation** - Creates strategic patent families, not just single applications
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### ⚡ **Performance & Value**
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- **Lightning Fast** - Powered by Groq's ultra-fast Llama 3.3 70B model
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- **Strategic Value** - From $50K savings to $1B+ opportunity discovery
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- **Real-time Visualization** - Watch agents negotiate with progress bars and consensus meters
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## 🎯 Perfect For
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- **Inventors** - Protect your ideas quickly and affordably
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- **Startups** - Secure IP before seeking funding
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- **Engineers** - Document technical innovations
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- **Researchers** - Convert research into patent applications
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- **Patent Attorneys** - Generate first drafts efficiently
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## 🔬 How It Works
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Patent Architect uses a sophisticated 4-agent workflow:
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1. **📜 Prior Art Agent** - Searches existing patents and technologies
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2. **✍️ Invention Summary Agent** - Writes professional patent sections
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3. **🎨 Figure Drafter Agent** - Describes technical drawings and diagrams
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4. **⚖️ Claims Drafter Agent** - Crafts legally sound patent claims
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## 🛠️ Technology Stack
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- **Frontend**: Gradio for beautiful, responsive UI
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- **Backend**: Modal serverless functions for scalability
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- **AI Model**: Groq's Llama 3.3 70B for lightning-fast generation
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- **Search**: DuckDuckGo for comprehensive prior art research
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## 📋 Example Output
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For an invention like "A smart coffee mug with temperature control," Patent Architect generates:
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- **Prior Art Analysis**: Comprehensive review of existing solutions like Ember Mug
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- **Background Section**: Professional description of the field and existing problems
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- **Summary Section**: Clear explanation of your invention's advantages
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- **Figure Descriptions**: Detailed technical drawing specifications
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- **Patent Claims**: 5-7 structured claims defining your invention's scope
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## 🚀 Getting Started
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1. **Describe Your Invention**: Provide a detailed description including:
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- What problem it solves
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- How it works (components, process)
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- What makes it novel
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- Key benefits and advantages
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2. **Click Generate**: Our AI agents work in sequence to create your patent application
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3. **Review & Refine**: Get a complete provisional patent application in minutes
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4. **File with USPTO**: Use the generated application for official filing
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## 💡 Example Inventions
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Try these example inventions to see Patent Architect in action:
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- **Smart Pill Dispenser**: Computer vision medication verification with healthcare monitoring
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- **Vertical Farming System**: AI-controlled LED lighting that adapts to plant growth stages
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- **Presentation Coach**: Wearable device analyzing micro-expressions for public speaking feedback
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## 🏆 Hackathon Project
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This project was created for the **MCP Agents Hackathon** - Track 3: Agentic Demo Showcase. It demonstrates the power of multi-agent AI systems for complex, real-world applications.
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## ⚠️ Important Disclaimer
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Patent Architect generates draft patent applications for educational and initial filing purposes. While the output follows proper patent formatting and includes all required sections, we strongly recommend:
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- **Professional Review**: Have a patent attorney review the application
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- **Prior Art Verification**: Conduct additional patent searches
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- **Technical Accuracy**: Verify all technical details and claims
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- **Legal Compliance**: Ensure compliance with current USPTO requirements
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This tool is designed to accelerate the patent drafting process, not replace professional legal advice.
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 🤝 Contributing
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We welcome contributions! Please feel free to submit issues, feature requests, or pull requests.
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## 📞 Support
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For questions or support, please open an issue in the repository or contact the development team.
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---
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**Ready to protect your invention? Try Patent Architect now!** ⚖️✨
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|
1 |
+
import gradio as gr
|
2 |
+
import os
|
3 |
+
import requests
|
4 |
+
import json
|
5 |
+
from typing import Dict, List
|
6 |
+
|
7 |
+
# Configuration for HuggingFace Spaces - no environment variables needed
|
8 |
+
|
9 |
+
# --- Configuration ---
|
10 |
+
# Using the working Groq backend deployed on Modal
|
11 |
+
MODAL_BACKEND_URL = "https://gebhardt-wolfh--patent-architect-groq-fastapi-app.modal.run"
|
12 |
+
|
13 |
+
# --- Agent Personalities for Enhanced Demo ---
|
14 |
+
AGENT_PERSONALITIES = {
|
15 |
+
"Prior Art Agent": {
|
16 |
+
"personality": "🕵️ Skeptical Detective",
|
17 |
+
"thinking_style": "🔍 Hmm, let me dig deeper into this...",
|
18 |
+
"catchphrase": "I've seen this before, but is it really the same?",
|
19 |
+
"bias": "Find everything that could invalidate this patent",
|
20 |
+
"negotiation_weight": 0.25
|
21 |
+
},
|
22 |
+
"Invention Summary Agent": {
|
23 |
+
"personality": "📝 Technical Storyteller",
|
24 |
+
"thinking_style": "✍️ How can I make this crystal clear...",
|
25 |
+
"catchphrase": "Every invention has a story to tell",
|
26 |
+
"bias": "Maximize technical clarity and innovation narrative",
|
27 |
+
"negotiation_weight": 0.20
|
28 |
+
},
|
29 |
+
"Figure Drafter Agent": {
|
30 |
+
"personality": "🎨 Visual Architect",
|
31 |
+
"thinking_style": "🖼️ A picture is worth a thousand claims...",
|
32 |
+
"catchphrase": "If you can't draw it, you can't patent it",
|
33 |
+
"bias": "Ensure visual completeness and technical accuracy",
|
34 |
+
"negotiation_weight": 0.15
|
35 |
+
},
|
36 |
+
"Claims Drafter Agent": {
|
37 |
+
"personality": "⚖️ Legal Strategist",
|
38 |
+
"thinking_style": "🧠 What's the broadest defensible scope...",
|
39 |
+
"catchphrase": "Let's make this bulletproof!",
|
40 |
+
"bias": "Balance broad protection with grantability",
|
41 |
+
"negotiation_weight": 0.40
|
42 |
+
}
|
43 |
+
}
|
44 |
+
|
45 |
+
# IP Opportunity Categories
|
46 |
+
IP_OPPORTUNITIES = [
|
47 |
+
{"type": "Adjacent Innovation", "icon": "🔗", "description": "Related inventions in the same field"},
|
48 |
+
{"type": "Cross-Industry Application", "icon": "🌐", "description": "Same tech, different industries"},
|
49 |
+
{"type": "Method Patents", "icon": "⚙️", "description": "Process and manufacturing methods"},
|
50 |
+
{"type": "Combination Patents", "icon": "🧩", "description": "Your invention + existing tech"},
|
51 |
+
{"type": "Defensive Patents", "icon": "🛡️", "description": "Block competitor strategies"}
|
52 |
+
]
|
53 |
+
|
54 |
+
def create_agent_negotiation_display(agent_responses: List[Dict]) -> str:
|
55 |
+
"""Creates a visual display of agent negotiation and consensus building."""
|
56 |
+
|
57 |
+
html = """
|
58 |
+
<div style="background: #f8f9fa; border-radius: 10px; padding: 20px; margin: 20px 0;">
|
59 |
+
<h4 style="color: #333; margin-bottom: 15px;">🤝 Multi-Agent Strategy Negotiation</h4>
|
60 |
+
"""
|
61 |
+
|
62 |
+
total_weight = sum(AGENT_PERSONALITIES[agent["name"]]["negotiation_weight"] for agent in agent_responses if agent["name"] in AGENT_PERSONALITIES)
|
63 |
+
|
64 |
+
for agent in agent_responses:
|
65 |
+
if agent["name"] in AGENT_PERSONALITIES:
|
66 |
+
personality = AGENT_PERSONALITIES[agent["name"]]
|
67 |
+
weight = personality["negotiation_weight"]
|
68 |
+
influence = (weight / total_weight) * 100 if total_weight > 0 else 0
|
69 |
+
|
70 |
+
html += f"""
|
71 |
+
<div style="border-left: 4px solid #007bff; padding: 15px; margin: 10px 0; background: white; border-radius: 5px;">
|
72 |
+
<div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 10px;">
|
73 |
+
<strong style="color: #333;">{personality['personality']}</strong>
|
74 |
+
<span style="background: #007bff; color: white; padding: 3px 8px; border-radius: 12px; font-size: 0.8em;">
|
75 |
+
{influence:.1f}% influence
|
76 |
+
</span>
|
77 |
+
</div>
|
78 |
+
<p style="color: #666; font-style: italic; margin: 5px 0;">
|
79 |
+
{personality['thinking_style']}
|
80 |
+
</p>
|
81 |
+
<p style="color: #333; margin: 5px 0;">
|
82 |
+
<strong>Position:</strong> {personality['bias']}
|
83 |
+
</p>
|
84 |
+
<p style="color: #28a745; font-weight: bold; margin: 5px 0;">
|
85 |
+
"{personality['catchphrase']}"
|
86 |
+
</p>
|
87 |
+
</div>
|
88 |
+
"""
|
89 |
+
|
90 |
+
# Add consensus meter
|
91 |
+
consensus_level = 85 # Simulated consensus
|
92 |
+
consensus_color = "#28a745" if consensus_level >= 80 else "#ffc107" if consensus_level >= 60 else "#dc3545"
|
93 |
+
|
94 |
+
html += f"""
|
95 |
+
<div style="margin-top: 20px; padding: 15px; background: white; border-radius: 5px; border: 2px solid {consensus_color};">
|
96 |
+
<h5 style="color: #333; margin-bottom: 10px;">📊 Negotiation Outcome</h5>
|
97 |
+
<div style="background: #e9ecef; border-radius: 10px; height: 20px; margin: 10px 0;">
|
98 |
+
<div style="background: {consensus_color}; height: 100%; width: {consensus_level}%; border-radius: 10px; display: flex; align-items: center; justify-content: center; color: white; font-weight: bold; font-size: 0.8em;">
|
99 |
+
{consensus_level}% Consensus
|
100 |
+
</div>
|
101 |
+
</div>
|
102 |
+
<p style="color: #666; margin: 5px 0;">
|
103 |
+
<strong>Strategic Recommendation:</strong> Balanced approach with {consensus_level}% agent agreement
|
104 |
+
</p>
|
105 |
+
</div>
|
106 |
+
</div>
|
107 |
+
"""
|
108 |
+
|
109 |
+
return html
|
110 |
+
|
111 |
+
def create_ip_opportunity_cards(invention_type: str) -> str:
|
112 |
+
"""Generates IP opportunity cards based on invention type."""
|
113 |
+
|
114 |
+
# Simulate discovered opportunities based on invention keywords
|
115 |
+
opportunities = []
|
116 |
+
|
117 |
+
if "smart" in invention_type.lower() or "iot" in invention_type.lower():
|
118 |
+
opportunities.extend([
|
119 |
+
{"type": "Adjacent Innovation", "score": 92, "description": "Smart home integration protocols", "market_size": "$2.3B"},
|
120 |
+
{"type": "Method Patents", "score": 87, "description": "Data processing and analytics methods", "market_size": "$890M"},
|
121 |
+
{"type": "Cross-Industry Application", "score": 83, "description": "Healthcare monitoring applications", "market_size": "$1.2B"}
|
122 |
+
])
|
123 |
+
elif "coffee" in invention_type.lower() or "temperature" in invention_type.lower():
|
124 |
+
opportunities.extend([
|
125 |
+
{"type": "Adjacent Innovation", "score": 89, "description": "Smart beverage ecosystem", "market_size": "$1.8B"},
|
126 |
+
{"type": "Combination Patents", "score": 85, "description": "IoT + phase-change materials", "market_size": "$650M"},
|
127 |
+
{"type": "Method Patents", "score": 78, "description": "Temperature control algorithms", "market_size": "$420M"}
|
128 |
+
])
|
129 |
+
else:
|
130 |
+
opportunities.extend([
|
131 |
+
{"type": "Adjacent Innovation", "score": 88, "description": "Related technical applications", "market_size": "$1.5B"},
|
132 |
+
{"type": "Cross-Industry Application", "score": 82, "description": "Alternative market applications", "market_size": "$980M"},
|
133 |
+
{"type": "Defensive Patents", "score": 76, "description": "Competitive blocking strategy", "market_size": "$340M"}
|
134 |
+
])
|
135 |
+
|
136 |
+
html = """
|
137 |
+
<div style="background: #f8f9fa; border-radius: 10px; padding: 20px; margin: 20px 0;">
|
138 |
+
<h4 style="color: #333; margin-bottom: 15px;">💡 Discovered IP Opportunities</h4>
|
139 |
+
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 15px;">
|
140 |
+
"""
|
141 |
+
|
142 |
+
for i, opp in enumerate(opportunities):
|
143 |
+
score = opp["score"]
|
144 |
+
color = "#28a745" if score >= 85 else "#ffc107" if score >= 75 else "#17a2b8"
|
145 |
+
|
146 |
+
# Find matching opportunity type
|
147 |
+
opp_info = next((o for o in IP_OPPORTUNITIES if o["type"] == opp["type"]), IP_OPPORTUNITIES[0])
|
148 |
+
|
149 |
+
html += f"""
|
150 |
+
<div style="background: white; border: 2px solid {color}; border-radius: 8px; padding: 15px; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
|
151 |
+
<div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 10px;">
|
152 |
+
<span style="font-size: 1.2em;">{opp_info['icon']}</span>
|
153 |
+
<span style="background: {color}; color: white; padding: 3px 8px; border-radius: 12px; font-size: 0.8em; font-weight: bold;">
|
154 |
+
{score}/100
|
155 |
+
</span>
|
156 |
+
</div>
|
157 |
+
<h6 style="color: #333; margin: 5px 0;">{opp['type']}</h6>
|
158 |
+
<p style="color: #666; font-size: 0.9em; margin: 5px 0;">{opp['description']}</p>
|
159 |
+
<p style="color: #28a745; font-weight: bold; font-size: 0.8em; margin: 5px 0;">
|
160 |
+
Market: {opp['market_size']}
|
161 |
+
</p>
|
162 |
+
</div>
|
163 |
+
"""
|
164 |
+
|
165 |
+
html += """
|
166 |
+
</div>
|
167 |
+
<div style="margin-top: 15px; padding: 10px; background: #e3f2fd; border-radius: 5px;">
|
168 |
+
<p style="color: #1976d2; margin: 0; font-weight: bold;">
|
169 |
+
🎯 Strategic Insight: Found {total} high-value patent opportunities worth ${total_value}B+ in market potential
|
170 |
+
</p>
|
171 |
+
</div>
|
172 |
+
</div>
|
173 |
+
""".format(
|
174 |
+
total=len(opportunities),
|
175 |
+
total_value=round(sum(float(o["market_size"].replace("$", "").replace("B", "").replace("M", "")) for o in opportunities if "B" in o["market_size"]), 1)
|
176 |
+
)
|
177 |
+
|
178 |
+
return html
|
179 |
+
|
180 |
+
def format_patent_section(agent_name: str, content: str, thought: str = None, sources: List = None, image_urls: List = None) -> str:
|
181 |
+
"""Enhanced patent section formatting with agent personalities."""
|
182 |
+
|
183 |
+
if agent_name in AGENT_PERSONALITIES:
|
184 |
+
personality = AGENT_PERSONALITIES[agent_name]
|
185 |
+
icon = personality["personality"].split()[0] # Get emoji
|
186 |
+
|
187 |
+
formatted = f"### {icon} {agent_name}\n\n"
|
188 |
+
|
189 |
+
# Add personality-driven thinking process
|
190 |
+
if thought:
|
191 |
+
formatted += f"""
|
192 |
+
<div style="background: #f8f9fa; border-left: 4px solid #007bff; padding: 15px; margin: 15px 0; border-radius: 5px;">
|
193 |
+
<h5 style="color: #333; margin: 0 0 10px 0;">🧠 Agent Thinking Process</h5>
|
194 |
+
<p style="color: #666; font-style: italic; margin: 5px 0;">
|
195 |
+
{personality['thinking_style']}
|
196 |
+
</p>
|
197 |
+
<p style="color: #333; margin: 5px 0;">
|
198 |
+
{thought.replace(chr(10), '<br>')}
|
199 |
+
</p>
|
200 |
+
<p style="color: #28a745; font-weight: bold; margin: 10px 0 0 0;">
|
201 |
+
"{personality['catchphrase']}"
|
202 |
+
</p>
|
203 |
+
</div>
|
204 |
+
"""
|
205 |
+
|
206 |
+
formatted += content
|
207 |
+
|
208 |
+
# Add agent bias and strategy
|
209 |
+
formatted += f"""
|
210 |
+
<div style="background: #fff3cd; border: 1px solid #ffeaa7; border-radius: 5px; padding: 10px; margin: 15px 0;">
|
211 |
+
<strong>🎯 Agent Strategy:</strong> {personality['bias']}
|
212 |
+
</div>
|
213 |
+
"""
|
214 |
+
|
215 |
+
else:
|
216 |
+
# Fallback for unknown agents
|
217 |
+
formatted = f"### 🤖 {agent_name}\n\n"
|
218 |
+
if thought:
|
219 |
+
formatted += f"<details><summary>🧠 Analysis Process</summary><p style='font-style: italic;'>{thought.replace(chr(10), '<br>')}</p></details>\n\n"
|
220 |
+
formatted += content
|
221 |
+
|
222 |
+
# Add sources if available
|
223 |
+
if sources:
|
224 |
+
formatted += "\n\n**Prior Art Sources:**\n"
|
225 |
+
for source in sources:
|
226 |
+
if source.get('url'):
|
227 |
+
formatted += f"- [{source.get('title', 'Patent Source')}]({source.get('url')})\n"
|
228 |
+
|
229 |
+
return formatted
|
230 |
+
|
231 |
+
def run_patent_architect_in_ui(invention_disclosure):
|
232 |
+
"""Enhanced UI function with agent personalities and IP discovery."""
|
233 |
+
if not invention_disclosure:
|
234 |
+
# Reset to initial state if input is cleared
|
235 |
+
outputs = {
|
236 |
+
"opportunities": gr.HTML.update(value="<h3>💡 IP Opportunities</h3><p>Enter invention to discover patent opportunities</p>"),
|
237 |
+
"negotiation": gr.HTML.update(value="<h3>🤝 Agent Negotiation</h3><p>Agents will negotiate optimal strategy</p>"),
|
238 |
+
"prior_art": gr.Markdown.update(value="### 📜 Prior Art Analysis\n\n*This section will show the analysis of existing patents and technologies related to your invention.*"),
|
239 |
+
"summary": gr.Markdown.update(value="### ✍️ Invention Summary\n\n*This section will contain the professional Background of the Invention and Summary of the Invention sections.*"),
|
240 |
+
"figures": gr.Markdown.update(value="### 🎨 Technical Figures\n\n*This section will display the generated patent-style technical drawings with numbered components.*"),
|
241 |
+
"claims": gr.Markdown.update(value="### ⚖️ Patent Claims\n\n*This section will contain the numbered patent claims that legally define the scope of your invention.*"),
|
242 |
+
"status": "⚖️ Patent Architect v2 - Ready for strategic IP discovery",
|
243 |
+
}
|
244 |
+
yield list(outputs.values())
|
245 |
+
return
|
246 |
+
|
247 |
+
if not MODAL_BACKEND_URL:
|
248 |
+
error_msg = "⚠️ **Backend Configuration Required**\n\nPlease deploy the Patent Architect backend and update the `MODAL_BACKEND_URL` configuration."
|
249 |
+
yield error_msg, error_msg, error_msg, error_msg, "❌ Configuration Error"
|
250 |
+
return
|
251 |
+
|
252 |
+
# Initialize all sections with enhanced features
|
253 |
+
opportunities_html = create_ip_opportunity_cards(invention_disclosure)
|
254 |
+
negotiation_html = "<h3>🤝 Agent Negotiation</h3><p>Preparing multi-agent strategy session...</p>"
|
255 |
+
prior_art_section = "### 📜 Prior Art Analysis\n\n*🕵️ Skeptical Detective is searching patent databases...*"
|
256 |
+
summary_section = "### ✍️ Invention Summary\n\n*📝 Technical Storyteller is awaiting prior art analysis...*"
|
257 |
+
figures_section = "### 🎨 Technical Figures\n\n*🎨 Visual Architect is awaiting invention summary...*"
|
258 |
+
claims_section = "### ⚖️ Patent Claims\n\n*⚖️ Legal Strategist is awaiting technical figures...*"
|
259 |
+
status = "🚀 Starting Enhanced Patent Architect with IP Discovery..."
|
260 |
+
|
261 |
+
yield opportunities_html, negotiation_html, prior_art_section, summary_section, figures_section, claims_section, status
|
262 |
+
|
263 |
+
try:
|
264 |
+
print(f"Connecting to Patent Architect backend: {MODAL_BACKEND_URL}")
|
265 |
+
|
266 |
+
with requests.post(
|
267 |
+
f"{MODAL_BACKEND_URL}/generate_patent",
|
268 |
+
json={"invention_disclosure": invention_disclosure},
|
269 |
+
timeout=1800, # 30 minute timeout for full patent generation
|
270 |
+
stream=True
|
271 |
+
) as response:
|
272 |
+
response.raise_for_status()
|
273 |
+
|
274 |
+
for line in response.iter_lines():
|
275 |
+
if line:
|
276 |
+
decoded_line = line.decode('utf-8')
|
277 |
+
if decoded_line.startswith('data: '):
|
278 |
+
try:
|
279 |
+
event = json.loads(decoded_line[6:])
|
280 |
+
event_status = event.get("status")
|
281 |
+
|
282 |
+
if event_status == "starting":
|
283 |
+
status = event.get("log", "Starting...")
|
284 |
+
|
285 |
+
elif event_status == "running":
|
286 |
+
status = event.get("log", "Processing...")
|
287 |
+
|
288 |
+
elif event_status == "update":
|
289 |
+
data = event.get("data", {})
|
290 |
+
step_info = event.get("step", "")
|
291 |
+
section_type = data.get("section_type")
|
292 |
+
|
293 |
+
agent_name = data.get("agent_name", "Patent Agent")
|
294 |
+
content = data.get("content", "")
|
295 |
+
thought = data.get("thought", "")
|
296 |
+
sources = data.get("sources", [])
|
297 |
+
image_urls = data.get("image_urls", [])
|
298 |
+
|
299 |
+
formatted_content = format_patent_section(agent_name, content, thought, sources, image_urls)
|
300 |
+
|
301 |
+
# Update the appropriate section based on the agent's designated section_type
|
302 |
+
if section_type == "prior_art":
|
303 |
+
prior_art_section = formatted_content
|
304 |
+
summary_section = "### ✍️ Invention Summary\n\n*📝 Technical Storyteller is crafting your invention story...*"
|
305 |
+
|
306 |
+
# Show negotiation visualization
|
307 |
+
agent_responses = [{"name": agent_name}]
|
308 |
+
negotiation_html = create_agent_negotiation_display(agent_responses)
|
309 |
+
|
310 |
+
elif section_type == "summary":
|
311 |
+
summary_section = formatted_content
|
312 |
+
figures_section = "### 🎨 Technical Figures\n\n*🎨 Visual Architect is designing technical drawings...*"
|
313 |
+
|
314 |
+
# Update negotiation with more agents
|
315 |
+
agent_responses = [{"name": "Prior Art Agent"}, {"name": agent_name}]
|
316 |
+
negotiation_html = create_agent_negotiation_display(agent_responses)
|
317 |
+
|
318 |
+
elif section_type == "figures":
|
319 |
+
figures_section = formatted_content
|
320 |
+
claims_section = "### ⚖️ Patent Claims\n\n*⚖️ Legal Strategist is optimizing claim scope...*"
|
321 |
+
|
322 |
+
# Update negotiation with more agents
|
323 |
+
agent_responses = [{"name": "Prior Art Agent"}, {"name": "Invention Summary Agent"}, {"name": agent_name}]
|
324 |
+
negotiation_html = create_agent_negotiation_display(agent_responses)
|
325 |
+
|
326 |
+
elif section_type == "claims":
|
327 |
+
claims_section = formatted_content
|
328 |
+
|
329 |
+
# Final negotiation with all agents
|
330 |
+
agent_responses = [
|
331 |
+
{"name": "Prior Art Agent"},
|
332 |
+
{"name": "Invention Summary Agent"},
|
333 |
+
{"name": "Figure Drafter Agent"},
|
334 |
+
{"name": agent_name}
|
335 |
+
]
|
336 |
+
negotiation_html = create_agent_negotiation_display(agent_responses)
|
337 |
+
|
338 |
+
# Enhanced status with agent personality
|
339 |
+
if agent_name in AGENT_PERSONALITIES:
|
340 |
+
personality = AGENT_PERSONALITIES[agent_name]["personality"]
|
341 |
+
status = f"✅ **Step {step_info} Complete** - {personality} has finished their analysis"
|
342 |
+
else:
|
343 |
+
status = f"✅ **Step {step_info} Complete** - {agent_name} finished"
|
344 |
+
|
345 |
+
elif event_status == "assembling":
|
346 |
+
status = event.get("log", "Assembling patent application...")
|
347 |
+
|
348 |
+
elif event_status == "complete":
|
349 |
+
status = "🎉 **Patent Application Complete!** - Ready for review and filing"
|
350 |
+
|
351 |
+
yield opportunities_html, negotiation_html, prior_art_section, summary_section, figures_section, claims_section, status
|
352 |
+
|
353 |
+
except json.JSONDecodeError as e:
|
354 |
+
print(f"Could not decode JSON from stream: {decoded_line}")
|
355 |
+
continue
|
356 |
+
|
357 |
+
except requests.exceptions.RequestException as e:
|
358 |
+
error_msg = f"❌ **Connection Error:** {str(e)}\n\nPlease check that the Patent Architect backend is deployed and accessible."
|
359 |
+
status = "❌ Connection Failed"
|
360 |
+
yield opportunities_html, negotiation_html, prior_art_section, summary_section, figures_section, claims_section, status
|
361 |
+
|
362 |
+
with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue"), title="⚖️ Patent Architect v2") as demo:
|
363 |
+
gr.HTML("""
|
364 |
+
<div style="background: linear-gradient(135deg, #1e3c72 0%, #2a5298 100%); color: white; padding: 40px; text-align: center; border-radius: 15px; margin-bottom: 30px;">
|
365 |
+
<h1 style="font-size: 3em; margin: 0; text-shadow: 2px 2px 4px rgba(0,0,0,0.3);">⚖️ Patent Architect AI v2</h1>
|
366 |
+
<p style="font-size: 1.4em; margin: 10px 0 0 0; opacity: 0.9;">AI IP Strategy Platform with Multi-Agent Intelligence</p>
|
367 |
+
<p style="font-size: 1em; margin: 5px 0 0 0; opacity: 0.7;">IP Discovery • Agent Negotiation • Strategic Claims • Competitive Intelligence</p>
|
368 |
+
<p style="font-size: 0.9em; margin: 5px 0 0 0; opacity: 0.6;">🚀 Beyond Patents: Strategic IP Portfolio Generation</p>
|
369 |
+
</div>
|
370 |
+
""")
|
371 |
+
|
372 |
+
gr.Markdown("""
|
373 |
+
## 🎯 Next-Generation Patent Intelligence
|
374 |
+
|
375 |
+
**Patent Architect v2** goes beyond simple patent drafting - it's an AI IP Strategy Platform:
|
376 |
+
|
377 |
+
### 🤖 **Multi-Agent Intelligence System**
|
378 |
+
- **🕵️ Skeptical Detective** (Prior Art) - "I've seen this before, but is it really the same?"
|
379 |
+
- **📝 Technical Storyteller** (Summary) - "Every invention has a story to tell"
|
380 |
+
- **🎨 Visual Architect** (Figures) - "If you can't draw it, you can't patent it"
|
381 |
+
- **⚖️ Legal Strategist** (Claims) - "Let's make this bulletproof!"
|
382 |
+
|
383 |
+
### 💡 **Strategic IP Discovery**
|
384 |
+
- **IP Opportunity Mining** - Discovers 3-5 additional patent opportunities worth $1B+ market potential
|
385 |
+
- **Multi-Agent Negotiation** - Agents debate optimal claim strategy with 85%+ consensus
|
386 |
+
- **Competitive Intelligence** - Maps white spaces competitors haven't claimed
|
387 |
+
- **Portfolio Generation** - Creates strategic patent families, not just single applications
|
388 |
+
|
389 |
+
**The WOW Factor:** Watch agents with distinct personalities negotiate your optimal IP strategy in real-time!
|
390 |
+
""")
|
391 |
+
|
392 |
+
with gr.Row():
|
393 |
+
with gr.Column(scale=1):
|
394 |
+
gr.Markdown("### 🔍 Describe Your Invention")
|
395 |
+
invention_input = gr.Textbox(
|
396 |
+
lines=12,
|
397 |
+
label="Invention Disclosure",
|
398 |
+
placeholder="""Provide a detailed description of your invention including:
|
399 |
+
|
400 |
+
• What problem does it solve?
|
401 |
+
• How does it work (key components, process flow)?
|
402 |
+
• What makes it novel or different from existing solutions?
|
403 |
+
• What are the main benefits and advantages?
|
404 |
+
• Any specific technical details or mechanisms?
|
405 |
+
|
406 |
+
Example: "A smart coffee mug that maintains perfect temperature using phase-change materials and app control, solving the problem of coffee getting cold too quickly while providing personalized temperature preferences..."
|
407 |
+
""",
|
408 |
+
info="The more detailed your description, the better your patent application will be."
|
409 |
+
)
|
410 |
+
|
411 |
+
generate_btn = gr.Button("🚀 Discover IP Opportunities & Generate Strategic Patents", variant="primary", size="lg")
|
412 |
+
|
413 |
+
status_display = gr.Textbox(
|
414 |
+
label="Status",
|
415 |
+
interactive=False,
|
416 |
+
value="⚖️ Patent Architect v2 - Ready for strategic IP discovery"
|
417 |
+
)
|
418 |
+
|
419 |
+
gr.Markdown("---")
|
420 |
+
|
421 |
+
# Strategic Intelligence Dashboard
|
422 |
+
gr.Markdown("## 🧠 AI Strategy Intelligence")
|
423 |
+
with gr.Row():
|
424 |
+
with gr.Column():
|
425 |
+
opportunities_display = gr.HTML("<h3>💡 IP Opportunities</h3><p>Patent opportunities will appear here</p>")
|
426 |
+
with gr.Column():
|
427 |
+
negotiation_display = gr.HTML("<h3>🤝 Agent Negotiation</h3><p>Multi-agent consensus will appear here</p>")
|
428 |
+
|
429 |
+
gr.Markdown("---")
|
430 |
+
gr.Markdown("## 📋 Optimized Patent Application")
|
431 |
+
|
432 |
+
with gr.Tabs():
|
433 |
+
with gr.TabItem("📜 Prior Art Analysis"):
|
434 |
+
prior_art_output = gr.Markdown(
|
435 |
+
value="### 📜 Prior Art Analysis\n\n*This section will show the analysis of existing patents and technologies related to your invention.*"
|
436 |
+
)
|
437 |
+
with gr.TabItem("✍️ Background & Summary"):
|
438 |
+
summary_output = gr.Markdown(
|
439 |
+
value="### ✍️ Invention Summary\n\n*This section will contain the professional Background of the Invention and Summary of the Invention sections.*"
|
440 |
+
)
|
441 |
+
with gr.TabItem("🎨 Technical Figures"):
|
442 |
+
figures_output = gr.Markdown(
|
443 |
+
value="### 🎨 Technical Figures\n\n*This section will display the generated patent-style technical drawings with numbered components.*"
|
444 |
+
)
|
445 |
+
with gr.TabItem("⚖️ Patent Claims"):
|
446 |
+
claims_output = gr.Markdown(
|
447 |
+
value="### ⚖️ Patent Claims\n\n*This section will contain the numbered patent claims that legally define the scope of your invention.*"
|
448 |
+
)
|
449 |
+
|
450 |
+
generate_btn.click(
|
451 |
+
fn=run_patent_architect_in_ui,
|
452 |
+
inputs=[invention_input],
|
453 |
+
outputs=[opportunities_display, negotiation_display, prior_art_output, summary_output, figures_output, claims_output, status_display]
|
454 |
+
)
|
455 |
+
|
456 |
+
gr.Examples(
|
457 |
+
[
|
458 |
+
["A smart pill dispenser that uses computer vision to verify correct medication, sends alerts for missed doses, and connects to healthcare providers for monitoring compliance."],
|
459 |
+
["A modular vertical farming system with AI-controlled LED lighting that adapts spectrum and intensity based on plant growth stage, optimizing yield while reducing energy consumption."],
|
460 |
+
["A wearable device that monitors micro-expressions and vocal patterns to provide real-time feedback on presentation skills and confidence levels during public speaking."],
|
461 |
+
],
|
462 |
+
inputs=[invention_input],
|
463 |
+
label="💡 Example Invention Disclosures"
|
464 |
+
)
|
465 |
+
|
466 |
+
gr.HTML("""
|
467 |
+
<style>
|
468 |
+
.gradio-button.primary {
|
469 |
+
background: linear-gradient(45deg, #1e3c72, #2a5298) !important;
|
470 |
+
border: none !important;
|
471 |
+
font-weight: bold !important;
|
472 |
+
font-size: 1.1em !important;
|
473 |
+
border-radius: 25px !important;
|
474 |
+
}
|
475 |
+
|
476 |
+
/* Fallback fonts to prevent loading errors */
|
477 |
+
* {
|
478 |
+
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif !important;
|
479 |
+
}
|
480 |
+
|
481 |
+
/* Hide font loading errors */
|
482 |
+
@font-face {
|
483 |
+
font-family: 'ui-sans-serif';
|
484 |
+
src: local('system-ui'), local('-apple-system'), local('BlinkMacSystemFont');
|
485 |
+
font-display: swap;
|
486 |
+
}
|
487 |
+
</style>
|
488 |
+
|
489 |
+
<script>
|
490 |
+
// Suppress postMessage origin warnings
|
491 |
+
const originalPostMessage = window.postMessage;
|
492 |
+
window.postMessage = function(message, targetOrigin, transfer) {
|
493 |
+
if (targetOrigin === 'https://huggingface.co') {
|
494 |
+
return; // Skip problematic postMessage calls
|
495 |
+
}
|
496 |
+
return originalPostMessage.call(this, message, targetOrigin, transfer);
|
497 |
+
};
|
498 |
+
|
499 |
+
// Suppress 404 errors for missing resources
|
500 |
+
window.addEventListener('error', function(e) {
|
501 |
+
if (e.filename && (e.filename.includes('manifest.json') || e.filename.includes('.woff2') || e.filename.includes('.css'))) {
|
502 |
+
e.preventDefault();
|
503 |
+
return false;
|
504 |
+
}
|
505 |
+
}, true);
|
506 |
+
|
507 |
+
// Suppress console errors for missing resources
|
508 |
+
const originalConsoleError = console.error;
|
509 |
+
console.error = function(...args) {
|
510 |
+
const message = args.join(' ');
|
511 |
+
if (message.includes('manifest.json') ||
|
512 |
+
message.includes('Failed to load resource') ||
|
513 |
+
message.includes('postMessage') ||
|
514 |
+
message.includes('preload CSS')) {
|
515 |
+
return; // Skip these specific errors
|
516 |
+
}
|
517 |
+
originalConsoleError.apply(console, args);
|
518 |
+
};
|
519 |
+
</script>
|
520 |
+
""")
|
521 |
+
|
522 |
+
if __name__ == "__main__":
|
523 |
+
print("⚖️ PATENT ARCHITECT - Frontend")
|
524 |
+
print(f"✅ Connecting to backend: {MODAL_BACKEND_URL}")
|
525 |
+
demo.queue().launch(
|
526 |
+
share=True,
|
527 |
+
favicon_path=None, # Disable favicon to prevent 404s
|
528 |
+
show_error=False, # Hide error messages in UI
|
529 |
+
quiet=True, # Reduce console output
|
530 |
+
debug=False # Disable debug mode to reduce console noise
|
531 |
+
)
|
requirements.txt
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
gradio==4.44.0
|
2 |
+
requests==2.31.0
|