Muti-Kara/Document-Chad

# Document-Chad: Gradio Document Question-Answering Project ## Overview This project aims to create a user-friendly interface with Gradio that allows users to upload a document and then ask questions about the content of the document. By leveraging the Pinecone and OpenAI APIs, the system will attempt to provide accurate and relevant answers to the questions. Please note that this project is currently **incomplete** and under development. We appreciate your patience and understanding. ## Getting Started ### Prerequisites Before you can run the project, you need to have the following dependencies installed: - Python 3.6 or later - Gradio - Pinecone - OpenAI - NLTK - Tiktoken You can install the required packages using `pip`: ```bash pip install -r requirements.txt ``` ### API Keys To use the Pinecone and OpenAI APIs, you need to obtain the respective API keys. Please register or log in to their websites to get the keys: - Pinecone API key - OpenAI API key After obtaining the keys, create a `.env` file in the project directory and add your keys as follows: ``` PINECONE_API_KEY=your_pinecone_api_key PINECONE_ENV=your_pinecone_env OPENAI_API_KEY=your_openai_api_key ``` ### Installation 1. Clone the repository to your local machine: ```bash git clone github.com ``` 2. Navigate to the project directory: ```bash cd Document-Chad ``` 3. Run the application: ```bash python app.py ``` ### Usage 1. After launching the application, open your web browser and navigate to `127.0.0.1`. You should see the Gradio interface. 2. Upload the document you want to analyze by clicking the "Upload" button and selecting the file from your computer. The system currently supports only .pdf format. 3. Enter your question in the provided text box. 4. Click "Submit" to obtain the answer. The system will analyze the document and attempt to provide an accurate answer based on the content. 5. If you want to ask another questio …