https://github.com/bhargav0807/chatwithcsvs

A simple application to query and interact with multiple CSVs.
https://github.com/bhargav0807/chatwithcsvs

langchain-agent langchain-python openai pandas streamlit

Last synced: about 1 month ago
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A simple application to query and interact with multiple CSVs.

• Host: GitHub
• URL: https://github.com/bhargav0807/chatwithcsvs
• Owner: bhargav0807
• Created: 2024-09-09T14:55:12.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-09T15:56:05.000Z (2 months ago)
• Last Synced: 2024-10-12T23:41:53.148Z (about 1 month ago)
• Topics: langchain-agent, langchain-python, openai, pandas, streamlit
• Language: Python
• Homepage:
• Size: 173 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CSV Chat App: Interact with Your CSV Data

The **CSV Chat App** allows users to upload one or more CSV files, view a sample of the data, and ask questions about the data using natural language. The app uses the **LangChain** framework and **OpenAI's GPT** model to provide intelligent answers based on the uploaded data.

![File Upload](images/home.png)

## Features

- **File Upload**: Users can upload multiple CSV files at once.

- **Data Preview**: Displays a sample (first five rows) of each uploaded CSV file.

- **Question Interface**: Users can ask questions about the data, and the app uses AI to provide insights or answers.

- **LangChain Agent**: A powerful agent is created to interact with the uploaded CSVs using OpenAI's GPT model.

  ![File Upload](images/fileui.png)

## Installation

1. **Clone the Repository**

    ```bash

    git clone https://github.com/bhargav0807/ChatWithCSVs.git

    cd ChatWithCSVs

    ```

2. **Create a Virtual Environment**

    It's recommended to create a virtual environment to isolate your dependencies.

    ```bash

    python3 -m venv venv

    source venv/bin/activate  # On Windows use `venv\Scripts\activate`

    ```

3. **Install the Required Packages**

    Install the dependencies listed in the `requirements.txt` file.

    ```bash

    pip install -r requirements.txt

    ```

4. **Set Up Environment Variables**

    Create a `.env` file in the project root and add your OpenAI API key.

    Example `.env` file:

    ```env

    OPENAI_API_KEY=your_openai_api_key

    ```

## Usage

1. **Start the Streamlit App**

    Use the following command to start the Streamlit app locally:

    ```bash

    streamlit run app.py

    ```

    This will launch the app on `http://localhost:8501`.

2. **Uploading CSV Files**

    - After launching the app, you can upload one or more CSV files using the file uploader.

    - Once a CSV is uploaded, a sample of the data (first five rows) will be displayed.

3. **Asking Questions**

    - You can ask questions about the uploaded data in the text box.

    - The LangChain agent, powered by OpenAI's GPT, will process your question and return an answer based on the data.