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title: My Streamlit App
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sdk: streamlit
sdk_version: 1.34.0
app_file: app.py
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T5 Small Transformer App
This Space uses the t5-small model to perform text-to-text tasks like summarization and translation.
Check out the configuration reference at Hugging Face Docs
Equation2Graph - Interactive Mathematical Equation Visualizer
Overview
Equation2Graph is an AI-powered web application that allows users to visualize mathematical equations from both symbolic input and natural language descriptions. The app can handle complex equations of any length or complexity, making it accessible for students, educators, and professionals alike.
Features
- Natural Language Input: Describe your equation in plain English
- Direct Equation Input: Enter mathematical expressions using standard notation
- Interactive Visualization: Real-time graphing with adjustable parameters
- Complex Equation Support: Handles a wide range of mathematical functions and operations
- Save & Share: Download your visualizations for presentations or assignments
- Example Library: Built-in examples to help you get started
Installation & Setup
Prerequisites
- Python 3.8 or higher
- pip package manager
Local Installation
Clone the repository:
git clone https://code.swecha.org/your-username/equation2graph.git cd equation2graphInstall dependencies:
pip install -r requirements.txtRun the application:
streamlit run app.pyOpen your browser and navigate to the URL displayed in your terminal (typically http://localhost:8501)
Usage
Natural Language Input
Type a description of your equation in plain English, for example:
- "the square of x plus two times x plus one"
- "sine of x squared times exponential of negative zero point one times x squared"
Direct Equation Input
Enter your equation using standard mathematical notation:
x^2 + 2*x + 1sin(x^2)*exp(-0.1*x^2)(x^4 - 5*x^2 + 4)/(x^2 + 1)
Supported Functions
- Basic operations:
+,-,*,/,^(power) - Trigonometric functions:
sin,cos,tan - Exponential and logarithmic:
exp,log - Other:
sqrt,abs - Combinations of any of the above
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributors
- [KARTHIK GARLAPATI] - Project Lead
- [KAVYA GARLAPATI] - AI Engineer
- [RENU SRI] - Frontend Developer
- [SHEETHAL] - Data Scientist
- [KOMALI KIRAN] - UX Designer
Acknowledgments
- Special thanks to the Streamlit community
- Thanks to Hugging Face for providing free model hosting