feat: init Gradio app following https://huggingface.co/docs/hub/spaces-sdks-gradio

app.py

@@ -1,9 +1,25 @@
 import gradio as gr
+from transformers import pipeline
 
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-def greet(name):
-    return "Hello " + name + "!!"
 
+def predict(input_img):
+    predictions = pipeline(input_img)
+    return input_img, {p["label"]: p["score"] for p in predictions}
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+
+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()

requirements.txt

@@ -1,2 +1,4 @@
 gradio==4.37.2
-gradio_client==1.0.2
+gradio_client==1.0.2
+transformers
+torch