Upload app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your Hugging Face model using transformers pipeline for image classification
+classifier = pipeline("image-classification", model="anismizi/skin-type-classifier")
+
+def analyze_skin(image):
+    # Run inference
+    results = classifier(image)
+    # Format results for display or API response
+    return {res['label']: float(res['score']) for res in results}
+
+# Create Gradio Interface
+iface = gr.Interface(
+    fn=analyze_skin,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=2),
+    title="Skin Condition Analyzer",
+    description="Classify skin as dry or oily from image."
+)
+
+if __name__ == "__main__":
+    iface.launch()