https://github.com/sudarshanasrao/talk-to-your-data
An app where you can ask AI (Claude) about your file (dataset)!
https://github.com/sudarshanasrao/talk-to-your-data
ai datascience-machinelearning eda llm rag streamlit-webapp
Last synced: 16 days ago
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An app where you can ask AI (Claude) about your file (dataset)!
- Host: GitHub
- URL: https://github.com/sudarshanasrao/talk-to-your-data
- Owner: SudarshanaSRao
- License: mit
- Created: 2024-08-30T19:40:50.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-06T17:43:04.000Z (over 1 year ago)
- Last Synced: 2025-02-06T18:39:20.951Z (over 1 year ago)
- Topics: ai, datascience-machinelearning, eda, llm, rag, streamlit-webapp
- Language: Python
- Homepage: https://talk-to-your-data.streamlit.app/
- Size: 269 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
https://github.com/user-attachments/assets/3edccc72-91c8-46af-b752-a48206ba75e8
# 🗣️Data Visualization Assistant
### [Medium blog](https://medium.com/@sudarshanasrao/introducing-the-file-conversational-assistant-revolutionizing-document-interaction-with-ai-bf878e5c9ed5) | [Project details](https://sudarshanasrao.github.io/portfolio/portfolio-1/) | [Streamlit profile](https://share.streamlit.io/user/sudarshanasrao)
## Overview
The **Data Visualization Assistant** is a Streamlit-based web application that allows users to upload any type of file (PDF, DOCX, Excel, CSV, JSON, etc.) and interact with the content via a conversational AI interface powered by Anthropics. Users can ask questions related to the uploaded file, and the AI will generate responses based on the file's content.
## Features
- **File Upload**: Supports multiple file types including PDFs, Word documents, Excel sheets, CSVs, JSONs, and plain text files.
- **Conversational Interface**: Users can ask questions about the content of the uploaded files, and the AI provides relevant answers.
- **Session History**: Maintains conversation history during the session, allowing users to see previous interactions.
- **Clear Conversation**: Option to clear the conversation history.
- **API Key Input**: Securely input your Anthropics API key through the Streamlit interface.
## Uploading Files and Interacting
- **Upload a File**: On the main interface, upload the file you want to interact with (PDF, DOCX, Excel, CSV, JSON, etc.).
- **Input API Key**: Enter your Anthropics API key in the sidebar to enable the AI functionality.
- **Ask Questions**: Type your questions about the file content in the input box, and the AI will generate a response.
- **View History**: Scroll through the conversation history to review previous interactions.
- **Clear Conversation**: Use the "Clear Conversation" button to reset the conversation history.
## Installation
### Prerequisites
- Python 3.7 or higher
- Streamlit Cloud account (for deployment)
## Security Considerations
- **API Key**: The application does not store your API key. It's securely handled during the session.
- **File Handling**: The application processes files in memory and does not store uploaded files. Supported file types include PDF, DOCX, Excel, CSV, and JSON.
- **Rate Limits**: Be mindful of the rate limits imposed by the Anthropics API. The application does not enforce rate limiting, so excessive use could hit API limits.
## License
This project is licensed under the MIT License. See the LICENSE file for more details.
## Acknowledgements
- Anthropic for providing the API used in this project.
- Streamlit for the web application framework.