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--- |
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title: Restaurant Review Analyzer |
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emoji: 👀 |
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colorFrom: pink |
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colorTo: pink |
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sdk: streamlit |
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sdk_version: 1.40.2 |
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app_file: app.py |
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pinned: false |
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short_description: AI that analyzes restaurant reviews, providing insights |
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--- |
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# 🍽️ Restaurant Review Analyzer |
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## Overview |
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Restaurant Review Analyzer is an intelligent Streamlit application that transforms customer feedback into actionable insights using advanced machine learning and AI technologies. |
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## Features |
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- 📊 Zero-shot sentiment classification across multiple restaurant aspects |
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- 🤖 AI-powered insights generation |
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- 📈 Detailed review analysis and visualization |
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- 🚀 Easy-to-use CSV file upload interface |
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## Prerequisites |
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- Python 3.8+ |
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- Groq API Key |
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## Installation |
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1. Clone the repository: |
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2. Create a virtual environment: |
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3. Install dependencies: |
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4. Set up Groq API Key: |
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- Replace `"groq_api_key"` in `app.py` with your actual Groq API key |
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## Usage |
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Run the Streamlit application: |
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```bash |
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streamlit run app.py |
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``` |
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## CSV File Requirements |
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- Must contain a 'Review' column |
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- Recommended to have 30 or fewer reviews for initial analysis |
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## Technologies Used |
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- Streamlit |
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- Transformers (Hugging Face) |
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- Pandas |
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- Groq AI |
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- PyTorch |
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## Contributing |
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Pull requests are welcome. For major changes, please open an issue first to discuss proposed changes. |
