app.py

from transformers import pipeline
import gradio as gr

# Load image classification pipeline from Hugging Face Transformers
image_classifier = pipeline("image-classification")

# Define a function for image classification using Gradio
def classify_image(image):
    result = image_classifier(image)
    return result[0]['label']  # Return the label of the top prediction

# Create a Gradio interface
iface = gr.Interface(fn=classify_image, inputs="image", outputs="text")

# Launch the Gradio interface
iface.launch()