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Update app.py
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app.py
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@@ -6,11 +6,12 @@ from vit_model_test import CustomModel
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model = CustomModel()
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def predict(image: Image.Image):
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label, confidence = model.predict(image)
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result = "AI image" if label == 1 else "Real image"
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return result, f"Confidence: {confidence:.2f}%"
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# Define the Gradio interface
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demo = gr.Interface(
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@@ -18,9 +19,13 @@ demo = gr.Interface(
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inputs=gr.Image(type="pil"),
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outputs=[gr.Textbox(), gr.Textbox()],
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title="Vision Transformer Model",
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description="Upload an image to classify it using the Vision Transformer model."
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)
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# Launch the Gradio interface
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model = CustomModel()
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def predict(image: Image.Image):
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animation.visible = True # 讛专讗讛 讗转 讛讗谞讬诪爪讬讛
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label, confidence = model.predict(image)
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result = "AI image" if label == 1 else "Real image"
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animation.visible = False # 讛住转专 讗转 讛讗谞讬诪爪讬讛
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return result, f"Confidence: {confidence:.2f}%"
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# Define the Gradio interface
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demo = gr.Interface(
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inputs=gr.Image(type="pil"),
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outputs=[gr.Textbox(), gr.Textbox()],
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title="Vision Transformer Model",
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description="Upload an image to classify it using the Vision Transformer model.",
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live=True, # 诪讗驻砖专 讞讬讝讜讬 诪讬讬讚讬
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)
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# Add video component
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animation = gr.Video("https://cdn-uploads.huggingface.co/production/uploads/66d6f1b3b50e35e1709bfdf7/x7Ud8PO9QPfmrTvBVcCKE.mp4", visible=False) # 讛讻谞讬住讬 讗转 讛-URL 讛谞讻讜谉
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# Launch the Gradio interface
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if __name__ == "__main__":
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demo.launch()
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