create app.py

app.py

@@ -0,0 +1,18 @@
+# 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()