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README.md

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----
-title: Cat Breed Detector
-emoji: 📈
-colorFrom: green
-colorTo: indigo
-sdk: gradio
-sdk_version: 5.23.1
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🐱 Cat Breed Detector
+
+This app uses a Hugging Face model to detect cat breeds from images.
+
+Model: [dima806/cat_breed_image_detection](https://huggingface.co/dima806/cat_breed_image_detection)
+
+Built with 🤗 Transformers and Gradio.

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your Hugging Face model
+classifier = pipeline("image-classification", model="dima806/cat_breed_image_detection")
+
+# Function to predict from uploaded image
+def predict(image):
+    result = classifier(image)
+    top_result = result[0]
+    return f"{top_result['label']} ({round(top_result['score'] * 100, 2)}%)"
+
+# Create a Gradio interface
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="Cat Breed Detection",
+    description="Upload a cat image and see the predicted breed!"
+).launch()

requirements.txt

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+transformers
+torch
+gradio