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nananie143
commited on
Upload folder using huggingface_hub
Browse files- Dockerfile +20 -0
- app.py +57 -35
Dockerfile
CHANGED
@@ -1,12 +1,32 @@
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FROM python:3.10-slim
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WORKDIR /code
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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EXPOSE 7860
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CMD ["python", "app.py"]
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FROM python:3.10-slim
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# Install system dependencies including DNS tools
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RUN apt-get update && apt-get install -y \
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curl \
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dnsutils \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /code
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# Set DNS configuration
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RUN echo "nameserver 8.8.8.8" > /etc/resolv.conf && \
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echo "nameserver 8.8.4.4" >> /etc/resolv.conf
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# Set network timeouts
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ENV CURL_TIMEOUT=30
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ENV REQUESTS_TIMEOUT=30
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# Copy and install requirements
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY . .
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# Add healthcheck
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:7860/ || exit 1
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EXPOSE 7860
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CMD ["python", "app.py"]
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app.py
CHANGED
@@ -11,6 +11,10 @@ from typing import Dict, Any, List
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import json
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from datetime import datetime
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import logging
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from agentic_system import AgenticSystem
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from team_management import TeamManager
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@@ -21,11 +25,41 @@ from reasoning.unified_engine import UnifiedReasoningEngine
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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class AgentInterface:
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"""Interface for the agentic system."""
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def __init__(self):
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"""Initialize the interface components."""
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self.orchestrator = AgentOrchestrator()
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self.reasoning_engine = UnifiedReasoningEngine(
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min_confidence=0.7,
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@@ -49,61 +83,49 @@ class AgentInterface:
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context=context
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)
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-
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else:
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return f"Error: Unable to process query. Please try again."
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except Exception as e:
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logger.error(f"Error processing query: {e}")
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return f"
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# Initialize interface
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interface = AgentInterface()
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# Create Gradio interface
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with gr.Blocks(
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gr.Markdown(""
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# AI Reasoning System
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This system uses advanced reasoning strategies including local LLM for improved performance.
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Note: First query might take a few seconds as the model loads.
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""")
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with gr.Row():
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with gr.Column(
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input_text = gr.Textbox(
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label="Your
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placeholder="
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lines=
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)
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output_text = gr.Textbox(
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label="Response",
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lines=
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interactive=False
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)
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submit_btn = gr.Button("Ask")
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clear_btn = gr.Button("Clear")
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with gr.Column(scale=1):
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gr.Markdown("""
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### Example Questions:
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- What are the implications of artificial intelligence on society?
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- How does climate change affect global ecosystems?
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- What are the philosophical implications of quantum mechanics?
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""")
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# Set up event handlers
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submit_btn.click(
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fn=interface.process_query,
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inputs=input_text,
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outputs=output_text
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)
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-
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-
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# Launch the interface
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if __name__ == "__main__":
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import json
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from datetime import datetime
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import logging
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import os
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import socket
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import requests
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from requests.adapters import HTTPAdapter, Retry
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from agentic_system import AgenticSystem
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from team_management import TeamManager
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Configure network settings
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TIMEOUT = int(os.getenv('REQUESTS_TIMEOUT', '30'))
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RETRIES = 3
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# Configure session with retries
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session = requests.Session()
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retries = Retry(total=RETRIES,
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backoff_factor=1,
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status_forcelist=[429, 500, 502, 503, 504])
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session.mount('https://', HTTPAdapter(max_retries=retries))
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session.mount('http://', HTTPAdapter(max_retries=retries))
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def check_network():
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"""Check network connectivity."""
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try:
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# Try to resolve huggingface.co
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socket.gethostbyname('huggingface.co')
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# Try to connect to the API
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response = session.get('https://huggingface.co/api/health',
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timeout=TIMEOUT)
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response.raise_for_status()
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return True
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except Exception as e:
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logger.error(f"Network check failed: {e}")
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return False
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class AgentInterface:
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"""Interface for the agentic system."""
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def __init__(self):
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"""Initialize the interface components."""
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# Check network connectivity
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if not check_network():
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logger.warning("Network connectivity issues detected")
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self.orchestrator = AgentOrchestrator()
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self.reasoning_engine = UnifiedReasoningEngine(
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min_confidence=0.7,
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context=context
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)
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return result.get('answer', 'No response generated')
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except Exception as e:
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logger.error(f"Error processing query: {e}")
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return f"An error occurred: {str(e)}"
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# Initialize interface
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interface = AgentInterface()
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# Create Gradio interface
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with gr.Blocks(title="Advanced Reasoning System") as demo:
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gr.Markdown("# Advanced Reasoning System")
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with gr.Row():
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with gr.Column():
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input_text = gr.Textbox(
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label="Your Query",
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placeholder="Enter your query here...",
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lines=3
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)
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submit_btn = gr.Button("Submit")
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with gr.Column():
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output_text = gr.Textbox(
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label="Response",
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lines=5
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)
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submit_btn.click(
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fn=interface.process_query,
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inputs=input_text,
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outputs=output_text
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)
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# Start the server with health check endpoint
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app = gr.mount_gradio_app(None, demo, path="/")
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@app.get("/health")
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async def health_check():
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"""Health check endpoint."""
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if check_network():
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return {"status": "healthy"}
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return {"status": "degraded", "reason": "network_issues"}
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# Launch the interface
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if __name__ == "__main__":
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