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README.md
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title: CatVader
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app_file: app.py
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pinned: false
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title: CatVader - Social Media Classifier
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emoji: 🐱
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sdk: streamlit
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sdk_version: "1.32.0"
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app_file: app.py
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pinned: false
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license: mit
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short_description: Classify social media posts using LLMs
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# CatVader - Social Media Classifier
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A web interface for the [cat-vader](https://github.com/chrissoria/cat-vader) Python package. Classify social media posts into custom categories using various LLM providers.
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## How to Use
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1. **Upload Your Data**: Upload a CSV or Excel file containing social media posts
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2. **Select Column**: Choose the column containing the text to classify
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3. **Define Categories**: Enter your classification categories (e.g., "Positive", "Negative", "Neutral")
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4. **Choose a Model**: Select your preferred LLM (free models available!)
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5. **Click Classify**: View and download results with category assignments
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## Supported Models
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| Provider | Models |
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|----------|--------|
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| **OpenAI** | gpt-4o, gpt-4o-mini |
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| **Anthropic** | Claude Sonnet, Claude Haiku |
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| **Google** | Gemini 2.5 Flash, Gemini 2.5 Pro |
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| **Mistral** | Mistral Large, Mistral Small |
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| **xAI** | Grok models |
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| **HuggingFace** | Qwen, Llama 4, DeepSeek, and thousands more |
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## Features
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- **Multi-label classification**: Assign multiple categories per post
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- **Social media context**: Inject platform, handle, and hashtag context into prompts
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- **Image classification**: Classify posts with images or image URL columns
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- **Multi-model ensemble**: Run multiple models and use majority voting
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- **Batch processing**: Handle thousands of posts efficiently
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- **CSV/Excel export**: Download results ready for analysis
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