Read-My-Document is a Langchain-based application that allows you to upload CSV, PDF, DOCX, and TXT files and ask questions related to the content of these documents. The application will search through the document and interact with Language Learning Models (LLMs) to generate a response to your query.
- Supports multiple file formats: CSV, PDF, DOCX, TXT.
- Utilizes advanced Language Learning Models (LLMs) for query processing.
- Allows users to select between different models, including OpenAI and GPT4All.
- GPT4All, a ggml model, works locally on CPUs. Good for private documents. Applicaiton doesn't send document content to any api for embeding or generating response.
Create a virtual environment
python3 -m venv .venv
Activate environment
source .venv/bin/activate
Install Dependencies
pip install -r requirements.txt
If using, Open AI APIs, Add your secret key
export OPENAI_API_KEY="your key"
Get your Open API Keys
Running App
streamlit run main.py
With Docker
docker build -t MyDocumentQA .
docker run -p 8501:8501 MyDocumentQA
Access
Link: http:https://localhost:8501
- Add support for text, doc, pdf and images
- GPT4All - Download Here
- Llama - Download Here
We welcome contributions to this project. To contribute:
Fork this repository. Create your feature branch (git checkout -b feature/fooBar). Commit your changes (git commit -am 'Add some fooBar'). Push to the branch (git push origin feature/fooBar). Create a new Pull Request.
This project is licensed as free for commercial use.
For more information or if you have any questions, you can reach out to us:
- Email: [email protected]
- Twitter: @ranjeet692
- LinkedIn: Ranjeet Kumar