Spaces:
Running
on
T4
Running
on
T4
Update app.py
Browse files
app.py
CHANGED
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@@ -46,40 +46,25 @@ def inference(image, mode, best_max_flavors):
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image = image.convert('RGB')
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if mode == 'best':
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print("""————
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new inference
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mode: best
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""")
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prompt_result = ci.interrogate(image, max_flavors=int(best_max_flavors))
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print(prompt_result)
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return prompt_result, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
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elif mode == 'classic':
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print("""————
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new inference
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mode: classic
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""")
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prompt_result = ci.interrogate_classic(image)
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print(prompt_result)
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return prompt_result, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
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else:
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print("""————
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new inference
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mode: best
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""")
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prompt_result = ci.interrogate_fast(image)
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print(prompt_result)
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return prompt_result, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
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image = image.convert('RGB')
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if mode == 'best':
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prompt_result = ci.interrogate(image, max_flavors=int(best_max_flavors))
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print("mode best: " + prompt_result)
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return prompt_result, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
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elif mode == 'classic':
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prompt_result = ci.interrogate_classic(image)
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print("mode classic: " + prompt_result)
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return prompt_result, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
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else:
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prompt_result = ci.interrogate_fast(image)
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print("mode fast: " + prompt_result)
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return prompt_result, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
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