Notes summariser using LLM

This app helps summarise large text files using RecursiveTextSplit method under langchain. You also can access the analytics of the LLM using langchain's API.

Installation

1. Clone the repository.
2. Install the required dependencies by running:

   pip install -r requirements.txt

3. Set up the necessary environment variables by creating a .env file with the following keys:
   • LANGCHAIN_TRACING_V2 as true
   • LANGCHAIN_API_KEY
   • OPENAI_API_KEY

Local Usage

1. Run the Streamlit app by executing:

   streamlit run app.py

   or if you have ollama llama3 installed locally then you can use

   streamlit run app_ollama.py
   

2. Paste the content you want to summarize in the text area.
3. Click the "Summarize" button to generate a summary

Exposing APIs

1. Run app.py file under api folder using fastapi dev app.py
2. Check the API payload structure on http://127.0.0.1:8000/docs