Update app.py
Browse files
app.py
CHANGED
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@@ -12,7 +12,6 @@ images="dog.jpg"
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@spaces.GPU
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def shot(input, labels_text):
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# Check if the input is a URL or an uploaded image
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if isinstance(input, str) and (input.startswith("http://") or input.startswith("https://")):
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# Input is a URL
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response = requests.get(input)
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@@ -21,25 +20,20 @@ def shot(input, labels_text):
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# Input is an uploaded image
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PIL_image = Image.fromarray(np.uint8(input)).convert('RGB')
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# Split labels into a list
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labels = labels_text.split(",")
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# Perform the zero-shot image classification
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res = pipe(images=PIL_image,
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candidate_labels=labels,
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hypothesis_template="This is a photo of a {}")
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# Return the classification results as a dictionary
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return {dic["label"]: dic["score"] for dic in res}
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# Define the Gradio interface
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iface = gr.Interface(
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fn=shot,
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inputs=[
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gr.
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"
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],
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outputs=
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examples=[
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["https://example.com/dog.jpg", "dog,cat,bird"],
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["https://example.com/germany.jpg", "germany,belgium,colombia"],
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@@ -50,4 +44,4 @@ iface = gr.Interface(
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)
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# Launch the interface
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iface.launch()
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@spaces.GPU
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def shot(input, labels_text):
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if isinstance(input, str) and (input.startswith("http://") or input.startswith("https://")):
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# Input is a URL
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response = requests.get(input)
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# Input is an uploaded image
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PIL_image = Image.fromarray(np.uint8(input)).convert('RGB')
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labels = labels_text.split(",")
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res = pipe(images=PIL_image,
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candidate_labels=labels,
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hypothesis_template="This is a photo of a {}")
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return {dic["label"]: dic["score"] for dic in res}
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# Define the Gradio interface with the updated components
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iface = gr.Interface(
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fn=shot,
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inputs=[
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gr.Textbox(label="Image URL (starting with http/https) or Upload Image"),
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gr.Textbox(label="Labels (comma-separated)")
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],
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outputs=gr.Label(),
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examples=[
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["https://example.com/dog.jpg", "dog,cat,bird"],
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["https://example.com/germany.jpg", "germany,belgium,colombia"],
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)
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# Launch the interface
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iface.launch()
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