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):
    print(f"Received image: {image}")
    result = image_classifier(image)
    print(f"Classification result: {result}")
    return result[0]['label']


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

# Launch the Gradio interface
iface.launch()