Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the image classification pipeline
+pipe = pipeline("image-classification", model="imfarzanansari/skintelligent-acne")
+
+# Define the prediction function
+def classify_acne(image_url):
+    # Use the pipeline to classify the image from the URL
+    predictions = pipe(image_url)
+    
+    # Extract the label and score from the predictions
+    label = predictions[0]['label']
+    score = predictions[0]['score']
+    
+    return f"Grade: {label}, Confidence: {score:.2f}"
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=classify_acne,            # Prediction function
+    inputs=gr.Textbox(label="Image URL"),  # Input type: text (for image URL)
+    outputs="text",              # Output type: text
+    title="Acne Level Classifier",  # Title of the app
+    description="Enter the URL of an image to classify the acne levels."  # Description
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()