initial commit

README.md

@@ -1,42 +1,11 @@
 ---
-title: RAG Question Answering System
-emoji: 🤖
-colorFrom: blue
-colorTo: purple
+title: Pythonic Rag
+emoji: 🏢
+colorFrom: red
+colorTo: indigo
 sdk: docker
 pinned: false
 license: apache-2.0
 ---
 
-# RAG Question Answering System
-
-This application allows users to upload documents (PDF or TXT) and ask questions about their content. It uses a Retrieval-Augmented Generation (RAG) approach to provide accurate answers based on the document content.
-
-## Features
-
-- Upload PDF or TXT documents
-- Ask questions about the document content
-- View the context used to generate answers
-- Modern, responsive user interface
-
-## How to Use
-
-1. Upload a document (PDF or TXT) using the file upload interface
-2. Wait for the document to be processed
-3. Ask questions about the document content in the chat interface
-4. View the answers and the context used to generate them
-
-## Technical Details
-
-The application consists of two main components:
-
-1. **FastAPI Backend**: Handles file uploads, document processing, and question answering
-2. **React Frontend**: Provides a user-friendly interface for uploading documents and asking questions
-
-## Environment Variables
-
-- `OPENAI_API_KEY`: Your OpenAI API key (required)
-
-## License
-
-This project is licensed under the Apache 2.0 License.
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference