YaphetYan commited on
Commit
d652f80
·
1 Parent(s): 7254502

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

Browse files
Files changed (2) hide show
  1. app.py +20 -4
  2. requirements.txt +3 -1
app.py CHANGED
@@ -1,9 +1,25 @@
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  import gradio as gr
 
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- def greet(name):
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- return "Hello " + name + "!!"
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- demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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- demo.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import gradio as gr
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+ from transformers import pipeline
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+ pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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+ def predict(input_img):
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+ predictions = pipeline(input_img)
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+ return input_img, {p["label"]: p["score"] for p in predictions}
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+
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+ gradio_app = gr.Interface(
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+ predict,
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+ inputs=gr.Image(
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+ label="Select hot dog candidate", sources=["upload", "webcam"], type="pil"
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+ ),
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+ outputs=[
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+ gr.Image(label="Processed Image"),
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+ gr.Label(label="Result", num_top_classes=2),
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+ ],
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+ title="Hot Dog? Or Not?",
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+ )
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+
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+ if __name__ == "__main__":
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+ gradio_app.launch()
requirements.txt CHANGED
@@ -1,2 +1,4 @@
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  gradio==4.37.2
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- gradio_client==1.0.2
 
 
 
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  gradio==4.37.2
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+ gradio_client==1.0.2
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+ transformers
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+ torch