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🗣️Data Visualization Assistant

Medium blog | Project details | Streamlit profile

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.