/langchain_chat_csv

Primary LanguagePython

Chat with CSV

This project enables users to interact with data stored in CSV files through natural language queries. It leverages the power of OpenAI's GPT-3.5 model to understand and respond to user queries by searching the CSV file for relevant information.

Features

  • Upload CSV: Users can upload their own CSV files.
  • Query CSV: After uploading, users can ask questions related to the data in the CSV file.
  • Immediate Responses: The system uses a language model to provide answers directly from the CSV content.

How to Use

  1. Start the Application: Run the Streamlit application.
  2. Upload a CSV File: Use the file uploader to upload your CSV file.
  3. Ask Questions: Enter your questions in the text area provided.
  4. Get Answers: Press submit to see the answers extracted from the CSV.

Setup

  1. Clone the Repository: Clone this repository to your local machine.
  2. Install Dependencies: Run pip install -r requirements.txt to install the required Python packages.
  3. Set Up Environment Variables: Ensure your .env file contains the necessary API keys.
  4. Run the App: Execute streamlit run app.py to start the application.

Technologies Used

  • Python
  • Streamlit
  • OpenAI GPT-3.5
  • LangChain

Configuration

Ensure that the .env file is set up with the following variable:

  • OPENAI_API_KEY: Your OpenAI API key.