Update app.py

app.py

@@ -1,6 +1,6 @@
-import gradio as gr
+# import gradio as gr
 
-gr.load("models/microsoft/Phi-3.5-mini-instruct",  max_batch_size=1000).launch(share=True)
+# gr.load("models/microsoft/Phi-3.5-mini-instruct",  max_batch_size=1000).launch(share=True)
 
 
 
@@ -108,3 +108,45 @@ gr.load("models/microsoft/Phi-3.5-mini-instruct",  max_batch_size=1000).launch(s
 # # Launch with sharing enabled
 # interface.launch(share=True)
 
+
+
+
+
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+
+def predict(input_img):
+    predictions = pipeline(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions} 
+
+gradio_app = gr.Interface(
+    predict,
+    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
+    title="Hot Dog? Or Not?",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+