QUICKSTART.md

Quick Start Guide

🚀 Get Started in 3 Steps

Option A: Deploy to Hugging Face Spaces (Recommended)

1. Create a Space

   • Go to https://huggingface.co/new-space
   • Name: ai-text-assistant (or your choice)
   • SDK: Select "Gradio"
   • Visibility: Public or Private

2. Upload Files

   • Upload these files to your Space:
     • app.py
     • requirements.txt
     • README.md

   OR clone and push:

   git clone https://huggingface.co/spaces/YOUR_USERNAME/ai-text-assistant
   cd ai-text-assistant
   # Copy app.py, requirements.txt, README.md here
   git add .
   git commit -m "Initial commit"
   git push
   

3. Wait & Use

   • Space builds automatically (~5-10 min first time)
   • Access at: https://huggingface.co/spaces/YOUR_USERNAME/ai-text-assistant
   • Share with others!

Option B: Run Locally

1. Install Dependencies

   pip install -r requirements.txt
   

2. Run the App

   python app.py
   

3. Open Browser

   • Navigate to: http://127.0.0.1:7860
   • Models download on first run (~2.5GB total)
   • Subsequent runs use cached models

📖 How to Use

1. Choose Mode

   • Click "Text Generation" for creative writing
   • Click "Text Summarization" for article summaries

2. Enter Text

   • Type or paste your input (max 500 words)
   • For generation: Write a prompt
   • For summarization: Paste an article

3. Adjust Settings

   • Use slider to set max tokens (10-500)
   • Higher = longer output

4. Process

   • Click "🚀 Process" button
   • Wait for AI to generate (5-30 seconds)

5. Explore Results

   • Read the generated/summarized text
   • Hover over any word to see:
     • Top 5 alternative tokens
     • Probability percentages

💡 Example Inputs

Text Generation

Prompt: "Write a short story about a robot learning to paint"
Max Tokens: 150

Text Summarization

Input: [Paste a news article, blog post, or any long text]
Max Tokens: 100

⚡ Tips for Best Results

Text Generation

• Start with clear, specific prompts
• Use complete sentences
• Be creative with your prompts
• Higher token count = longer stories

Text Summarization

• Works best with well-structured articles
• Minimum ~100 words for good summaries
• News articles and blog posts work great
• Academic abstracts summarize well

🔧 Troubleshooting

"Loading models..." takes forever

• First run downloads ~2.5GB of models
• Be patient, models are cached after
• Check your internet connection

"Out of memory" error

• Reduce max_tokens to 50-100
• Close other applications
• Consider using Hugging Face Spaces (cloud hosting)

Hover tooltips not showing

• Try a different browser
• Ensure JavaScript is enabled
• Check browser console for errors

Generation is slow

• CPU inference is slower than GPU
• On Hugging Face Spaces, upgrade to GPU tier
• Reduce max_tokens for faster results

📚 Documentation

• IMPLEMENTATION_SUMMARY.md - Complete technical details
• DEPLOYMENT.md - Detailed deployment guide
• APP_FLOW.md - Visual flow diagrams
• README.md - Project overview

🎯 What Makes This Special?

Unique Feature: Token Alternatives Visualization

Unlike typical AI text tools, this app shows you "behind the scenes" of how the AI thinks:

• Each word you see was chosen from multiple options
• Hover to see what the AI could have said instead
• Learn how language models work
• Understand model confidence through probabilities

Example:

Generated: "The quick brown fox"
         
Hover "quick" → Shows: 
  1. quick (45.2%)
  2. fast (23.1%)
  3. speedy (12.0%)
  4. rapid (10.5%)
  5. swift (9.2%)

This helps you understand:

• Why the AI chose specific words
• What alternatives were considered
• How confident the AI was in each choice

🌟 Have Fun!

Experiment with different:

• Prompts and writing styles
• Text lengths
• Token limits
• Articles from various topics

The more you use it, the better you'll understand how AI language models make decisions!

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Need Help? Check DEPLOYMENT.md for detailed troubleshooting or open an issue on the repository.