Update app.py

app.py

@@ -1,3 +1,23 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.load("models/patrickjohncyh/fashion-clip").launch()
+# Load the pipeline
+pipe = pipeline("zero-shot-image-classification", model="patrickjohncyh/fashion-clip")
+
+# Define the Gradio interface
+def classify_image(image):
+    # Perform zero-shot image classification
+    result = pipe(image)
+    labels = result["labels"]
+    scores = result["scores"]
+    return {label: score for label, score in zip(labels, scores)}
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=classify_image,
+    inputs=gr.inputs.Image(),
+    outputs=gr.outputs.Label(num_top_classes=3)  # Adjust the number of top classes as needed
+)
+
+# Launch the interface
+iface.launch()