Update Docker configuration to change application port and environment variables

- Changed the exposed port from 8000 to 7860 in both Dockerfile and docker-compose.yml.
- Updated environment variables to set PORT and HOST for the application.
- Adjusted CMD in Dockerfile to reflect the new port for the application startup.

.huggingface/DESCRIPTION

@@ -0,0 +1,9 @@
+---
+title: RAG Chat with Document Dashboard & Quiz
+emoji: 🧠
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+pinned: true
+app_port: 7860
+--- 

Dockerfile

@@ -43,9 +43,11 @@ RUN ls -la /app/static/ /app/static/css/ /app/static/js/
 
 # Set environment variables
 ENV PYTHONPATH=/app
+ENV PORT=7860
+ENV HOST=0.0.0.0
 
-# Expose the application port
-EXPOSE 8000
+# Expose the Hugging Face required port
+EXPOSE 7860
 
 # Start the application
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

HUGGINGFACE.md

@@ -0,0 +1,76 @@
+# RAG Chat Application - Hugging Face Deployment
+
+This document provides instructions for deploying the RAG Chat Application on Hugging Face Spaces.
+
+## Overview
+
+This RAG (Retrieval-Augmented Generation) Chat application allows users to:
+- Upload documents (PDF/text)
+- Ask questions about the uploaded documents
+- View a document summary dashboard with key topics, word cloud, and document structure
+- Take quizzes to test knowledge about the document content
+
+## Features
+
+- **Document Summary Dashboard:** Visual summaries of document content
+- **Interactive Chat:** Ask questions about the uploaded documents
+- **Knowledge Quiz:** Test your understanding with automatically generated quizzes
+- **Thinking/Answer Format:** See the AI's reasoning process with expandable "thinking" sections
+
+## Deployment Instructions
+
+### Option 1: Deploy with Docker (Recommended)
+
+1. Create a new Hugging Face Space:
+   - Go to [huggingface.co/spaces](https://huggingface.co/spaces)
+   - Click "Create new Space"
+   - Select "Docker" as the Space SDK
+   - Name your space and configure visibility settings
+
+2. Upload the application files:
+   - Use Git to push the code to your Hugging Face Space repository
+   - Make sure to include the Dockerfile, which is already configured for Hugging Face
+
+3. Set environment variables:
+   - Go to your Space settings
+   - Add the following environment variable:
+     - `OPENAI_API_KEY`: Your OpenAI API key
+
+4. Hugging Face will automatically build and deploy the Docker container.
+
+### Option 2: Manual Deployment
+
+If you prefer to customize the deployment:
+
+1. Fork this repository
+2. Create a new Hugging Face Space with Docker SDK
+3. Connect your GitHub repository to the Hugging Face Space
+4. Add your OpenAI API key in the Space settings
+5. Hugging Face will build and deploy your application
+
+## Usage
+
+1. Open your deployed application in Hugging Face Spaces
+2. Upload a document (PDF or text)
+3. Ask questions about the document content
+4. Explore the document summary dashboard
+5. After asking a few questions, try the quiz feature
+
+## Configuration
+
+You can customize your deployment by modifying:
+- `Dockerfile` - Container configuration
+- `api/main.py` - Backend API endpoints
+- `app/frontend/src/` - Frontend React components
+
+## Troubleshooting
+
+If you encounter issues:
+1. Check that your OpenAI API key is valid and properly set in the Space settings
+2. Verify that your Space has sufficient resources allocated
+3. Check the Space logs for any errors
+4. For larger documents, you may need to increase the Space's resource allocation
+
+## Contributing
+
+Contributions are welcome! Feel free to submit pull requests or issues. 

README-HF.md

@@ -0,0 +1,40 @@
+# 🧠 RAG Chat with Document Dashboard & Quiz
+
+This application combines document analysis with interactive Q&A and knowledge quizzes.
+
+## 📑 Features
+
+- **Document Analysis:** Upload any PDF or text file
+- **Interactive Q&A:** Ask questions about your document content
+- **Document Dashboard:** View key topics, entities, word cloud and document structure
+- **Knowledge Quiz:** Test your understanding with auto-generated quizzes
+- **AI Reasoning:** See the AI's thinking process with expandable sections
+
+## 🚀 Getting Started
+
+1. **Upload a Document:** Click the upload button and select a PDF or text file
+2. **Ask Questions:** Type questions about the document in the chat
+3. **Explore Dashboard:** Browse the document summary dashboard to see insights
+4. **Take a Quiz:** After asking a few questions, try the quiz feature (or type "quiz me")
+
+## 💡 Example Questions
+
+- "What are the main topics in this document?"
+- "Can you summarize the key points?"
+- "Explain the relationship between X and Y mentioned in the document."
+- "Quiz me about this document's content."
+
+## 🔧 Settings
+
+- Toggle the dashboard visibility in the settings (gear icon)
+- Switch between light and dark mode (sun/moon icon)
+
+## 🛠️ Technical Details
+
+This application uses a Retrieval-Augmented Generation (RAG) system with:
+- Document chunking and vector embeddings
+- Semantic search for relevant context
+- LLM for generating detailed, accurate responses
+- Separate AI reasoning and answer sections
+
+Created with FastAPI, React, and OpenAI. 

docker-compose.yml

@@ -6,10 +6,12 @@ services:
       context: .
       dockerfile: Dockerfile
     ports:
-      - "8000:8000"
+      - "7860:7860"
     environment:
       - PYTHONPATH=/app
       - OPENAI_API_KEY=${OPENAI_API_KEY}
+      - PORT=7860
+      - HOST=0.0.0.0
     env_file:
       - .env
     restart: unless-stopped