updated file

Dockerfile

@@ -17,4 +17,4 @@ RUN apt-get update && apt-get install -y tmux
 
 # Start FastAPI & Streamlit together using tmux
 
-CMD ["sh", "-c", "uvicorn src.backend.main:app --host 0.0.0.0 --port 8000 & sleep 5 && streamlit run frontend/home.py --server.port 7860 --server.address 0.0.0.0"]
+CMD ["sh", "-c", "uvicorn src.backend.main:app --host 0.0.0.0 --port 8000 & sleep 5 && streamlit run src/frontend/home.py --server.port 7860 --server.address 0.0.0.0"]

README.md

@@ -1,6 +1,6 @@
 ---
 title: Yuvabe Care Companion AI
-emoji: 🦀
+emoji: 👨‍⚕️🩺
 colorFrom: blue
 colorTo: pink
 sdk: docker
@@ -8,3 +8,97 @@ pinned: false
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+<h1><span style="color: crimson;">Yuvabe Care Companion AI</span> - Health Assistant <img src="src\frontend\images\page_icon.jpg" alt="Streamlit logo" width="50" style="border-radius: 25px;"/></h1>
+
+<p align="center">
+  <img src="src\frontend\images\page_icon.jpg" alt="Yuvabe Care Companion AI image" width="300" style="border-radius: 45px;"/>
+</p>
+
+Yuvabe Care Companion AI is an AI-powered healthcare assistant designed to provide insightful medical guidance and enhance patient interactions. It serves as a digital healthcare companion, offering real-time medical suggestions, patient support, and AI-driven analysis for better health outcomes. 🚀
+
+## Key Features:
+
+-Smart Health Chat 💬: Engage with yuvabe_care_companion_ai for medical guidance, wellness tips, and symptom analysis. The AI understands health-related queries and provides relevant responses based on medical knowledge.
+
+- Symptom Checker 🏥: Enter symptoms, and yuvabe_care_companion_ai will analyze them to suggest possible conditions and next steps.
+
+- Personalized Health Insights 📊: Receive personalized health recommendations based on inputs, enabling users to track wellness progress.
+
+- Medical Knowledge Integration 📜: Stay informed with the latest medical research, treatment guidelines, and healthcare insights. yuvabe_care_companion_ai taps into a vast knowledge base to provide accurate responses.
+
+
+- User-Friendly Interface 🎨: Designed with an intuitive UI/UX, ensuring seamless interaction for both patients and healthcare providers.
+
+
+## Advanced AI Capabilities:
+
+At the heart of yuvabe_care_companion_ai is an advanced AI engine 🤖 trained on reliable medical sources, including healthcare databases. It understands context, maintains conversational flow, and provides precise health insights.
+yuvabe_care_companion_ai's backend is a creative use of session state management, providing yuvabe_care_companion_ai with a memory, making for a consistent and coherent conversation for all your coding assistances 🧠.
+
+The backend leverages intelligent session management, allowing the assistant to retain contextual memory for a consistent healthcare experience 🧠.
+With efficient caching mechanisms for performance optimization and robust error handling 🛠️, yuvabe_care_companion_ai ensures seamless, secure, and reliable interactions.
+
+yuvabe_care_companion_ai is built for the future of digital healthcare, with extensibility and modularity at its core. The integration of LangChain enhances conversational depth, making it more than just an AI—it’s a true healthcare companion 🤝.
+
+In the evolving landscape of digital health, yuvabe_care_companion_ai stands as a beacon of innovation and patient-centered AI solutions. Whether you're a healthcare provider or an individual seeking guidance, yuvabe_care_companion_ai is here to support your well-being with AI-driven intelligence. ✨
+
+## Setup Instructions
+
+To deploy yuvabe_care_companion_ai on your system, follow these steps:
+### Prerequisites
+
+- Python 3.10 or higher
+- Pip package manager
+
+### API Keys
+
+Use secrets.toml an add your OpenAI API key or set your enviroment variable OPENAI_API_KEY to your API key.
+
+### Installation
+
+1. Clone the repository:
+
+```bash
+git clone https://github.com/Vela-Test1993/yuvabe-care-companion-ai
+cd yuvabe_care_companion_ai
+```
+
+2. Create and activate a virtual environment (optional but recommended):
+```bash
+python3 -m venv venv
+source venv/bin/activate # On Windows use venv\Scripts\activate
+```
+
+3. Install the required packages:
+
+```bash
+pip install -r requirements.txt
+```
+
+### Running the Application
+
+To run yuvabe_care_companion_ai, execute the following command:
+
+```bash
+streamlit run yuvabe_care_companion_ai.py
+```
+
+This will start the Streamlit server, and you should see output indicating the local URL where the app is being served, typically `http://localhost:8501`.
+
+## Using Yuvabe Care Companion AI
+
+Once launched, interact with Yuvabe Care Companion AI as follows:
+
+- **Health Chat Interface**: Type in any health-related query, such as "What should I do for a mild fever?" and receive AI-powered guidance.
+
+- **Symptom Checker**: Enter symptoms, and yuvabe_care_companion_ai will analyze and provide possible conditions or next steps.
+
+- **Personalized Health Tips**: Get tailored wellness recommendations based on your inputs.
+
+- **Code Examples**: Ask for code examples by typing queries such as "My little finger is swallon. Please suggest a remedy ?" and Yuvabe Care Companion AI will provide you with the relevant suggestion.
+
+
+## Contributions
+
+If you'd like to contribute to Yuvabe Care Companion AI, please fork the repository and create a pull request with your features or fixes.