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This project is an end-to-end implementation of a Text to Math Problem Solver using the powerful Google Gemma 2 language model via LangChain Groq. It combines advanced natural language processing and reasoning capabilities to understand, solve, and explain mathematical problems in a clear, step-by-step manner. The app also integrates Wikipedia sear

app-wiki-app-jyhagcspgaxttbfbrgtpty.streamlit.app/

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README.md		README.md
app.py		app.py
requirements.txt		requirements.txt

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Text to Math Problem Solver & Wiki Assistant

A Streamlit app that leverages Google Gemma 2 via LangChain Groq to solve math problems and fetch information from Wikipedia.

Features

Solve complex math problems with step-by-step explanations.
Search and retrieve relevant Wikipedia information.
Interactive chat interface powered by LangChain and Groq’s Gemma 2 model.
Streamlit UI for easy user interaction.

Demo

Try the app live on Streamlit Cloud:

👉 Open the Text to Math Problem Solver & Wiki Assistant

Installation

Clone the repository:

git clone https://github.com/juhi-shahi/streamlit-wiki-app.git
cd streamlit-wiki-app

About

This project is an end-to-end implementation of a Text to Math Problem Solver using the powerful Google Gemma 2 language model via LangChain Groq. It combines advanced natural language processing and reasoning capabilities to understand, solve, and explain mathematical problems in a clear, step-by-step manner. The app also integrates Wikipedia sear

app-wiki-app-jyhagcspgaxttbfbrgtpty.streamlit.app/

data-science machine-learning natural-language-processing ai wikipedia chatbot math-solver streamlit langchain google-gemma2

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Initial Release - Text to Math Problem Solver Latest

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