README.md

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title: Chart QnA
emoji: 📊
colorFrom: blue
colorTo: gray
sdk: gradio
sdk_version: 3.39.0
app_file: app.py
pinned: false
license: apache-2.0
---

# Chart QnA 📊✨

Welcome to Chart QnA, a fusion of the HuggingFace Transformers library and visual language reasoning. This application translates visual data from charts and plots into coherent textual narratives. Explore the world of visual understanding with Chart QnA!

![App Interface](interface_screenshot.png) *// Replace with actual screenshot of your application.*

## Table of Contents 📑

1. [About The Project](# About The Project 📖)
2. [Getting Started](# Getting Started 🚀)
3. [Usage](#usage-🎈)
4. [License](#license-📄)
5. [Contact](#contact-📞)
6. [Acknowledgements](#acknowledgements-🙏)

## About The Project 📖

Chart QnA is a Python application that uses the "google/deplot" model from the HuggingFace Transformers library to translate visual content from charts and plots into text. It's hosted on [Hugging Face Spaces](https://huggingface.co/spaces/paschar/Chart_QnA), providing an interactive experience.

## Getting Started 🚀

To explore Chart QnA, simply visit the [Hugging Face Spaces page](https://huggingface.co/spaces/paschar/Chart_QnA).

## Usage 🎈

Using Chart QnA is as intuitive as 1, 2, 3!
1. Upload an image of a chart or plot.
2. Ask a question related to the visual content.
3. Receive a textual answer based on the visual data.

## License 📄

Distributed under the apache-2.0 License. See `LICENSE` for more information.

## Contact 📞

- Faizan Shaikh - [@mr-shaikh25](https://github.com/mr-shaikh25) - [[email protected]]([email protected])
- Simranjeet Singh
- Mohammed Anas Teli

[Project Link: Chart QnA Space](https://huggingface.co/spaces/paschar/Chart_QnA)

## Acknowledgements 🙏

- [HuggingFace Transformers](https://huggingface.co/transformers/)
- ["google/deplot" Model](https://huggingface.co/google/deplot)

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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

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