README.md

---
title: Adcomment Intent Classifier
emoji: 🏆
colorFrom: blue
colorTo: gray
sdk: gradio
sdk_version: 5.34.1
app_file: app.py
pinned: false
license: mit
---

# Ad Comments Intent Classifier

This Space provides an interface for classifying the intent of comments related to advertisements using the `YosefA/adfluence-intent-model`.

## Features

- 🎯 **Intent Classification**: Analyze comment text to determine the underlying intent
- 📊 **Confidence Scores**: Get probability scores for each predicted label
- 💡 **Easy to Use**: Simple interface with example comments provided
- ⚡ **Fast Inference**: Optimized for quick classification results

## How to Use

1. Enter your comment text in the input box
2. Click "🔍 Classify Intent" or press Enter
3. View the classification results with confidence scores

## Model Information

This app uses the `YosefA/adfluence-intent-model` from Hugging Face, which is trained to classify the intent of comments in advertising contexts.

## Examples

Try these example comments to see how the classifier works:
- "This product looks amazing! Where can I buy it?"
- "This is clearly a scam, don't trust it."
- "I love this brand, they make quality products."
- "The price seems too high for what you get."
- "Has anyone tried this? I'm curious about reviews."