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A newer version of the Gradio SDK is available:
5.34.2
metadata
title: Adcomment Intent Classifier
emoji: π
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
- π― Intent Classification: Analyze comment text to determine the underlying intent
- π Confidence Scores: Get probability scores for each predicted label
- π‘ Easy to Use: Simple interface with example comments provided
- β‘ Fast Inference: Optimized for quick classification results
How to Use
- Enter your comment text in the input box
- Click "π Classify Intent" or press Enter
- 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."