Sentiment Analyzer & Assistant

An application that analyzes document sentiment and provides AI-powered email assistance

Another fun little project I made! :3

Features

• 📊 Documents sentiment analysis
• 💬 AI-powered email assistance (rewriting, responding, fixing)
• 📱 User-friendly chat interface
• 📈 Detailed sentence-by-sentence sentiment breakdown

Setup

1. Clone the repository
2. Install dependencies: (i mightve missed a few here)

   pip install streamlit transformers torch huggingface_hub seaborn
   

3. Set up Hugging Face authentication:
   • Get your Hugging Face token from https://huggingface.co/settings/tokens
   • Set it as an environment variable: HUGGINGFACE_TOKEN=your_token

echo 'export HUGGINGFACE_TOKEN="your_actual_token_here"' >> ~/.zshrc && source ~/.zshrc

• Or add it to Streamlit secrets

Usage

1. Run the application:

   streamlit run app.py
   

2. Paste your email in the chat to analyze its sentiment
3. Use follow-up commands like "fix this email" or "make it more professional" for AI assistance

Dependencies

• Streamlit for the web interface
• HuggingFace Transformers for sentiment analysis and text generation
• Google's Gemma-2-2b for assistance