Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -476,7 +476,7 @@ def main():
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dog_style_transfer = DogStyleTransfer()
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with gr.Tabs():
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# 1.
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example_images = [
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'Border_Collie.jpg',
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'Golden_Retriever.jpeg',
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@@ -486,7 +486,7 @@ def main():
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]
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detection_components = create_detection_tab(predict, example_images)
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# 2.
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comparison_components = create_comparison_tab(
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dog_breeds=dog_breeds,
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get_dog_description=get_dog_description,
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@@ -494,7 +494,7 @@ def main():
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breed_noise_info=breed_noise_info
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)
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# 3.
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recommendation_components = create_recommendation_tab(
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UserPreferences=UserPreferences,
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get_breed_recommendations=get_breed_recommendations,
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@@ -502,7 +502,7 @@ def main():
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history_component=history_component
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)
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# 4.
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with gr.Tab("Visualization Analysis"):
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create_visualization_tab(
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dog_breeds=dog_breeds,
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@@ -510,9 +510,12 @@ def main():
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calculate_compatibility_score=calculate_compatibility_score,
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UserPreferences=UserPreferences
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)
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# 5.
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create_history_tab(history_component)
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# Footer
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dog_style_transfer = DogStyleTransfer()
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with gr.Tabs():
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# 1. breed detection
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example_images = [
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'Border_Collie.jpg',
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'Golden_Retriever.jpeg',
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]
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detection_components = create_detection_tab(predict, example_images)
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# 2. breed comparison
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comparison_components = create_comparison_tab(
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dog_breeds=dog_breeds,
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get_dog_description=get_dog_description,
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breed_noise_info=breed_noise_info
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)
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# 3. breed recommendation
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recommendation_components = create_recommendation_tab(
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UserPreferences=UserPreferences,
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get_breed_recommendations=get_breed_recommendations,
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history_component=history_component
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)
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# 4. Visualization Analysis
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with gr.Tab("Visualization Analysis"):
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create_visualization_tab(
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dog_breeds=dog_breeds,
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calculate_compatibility_score=calculate_compatibility_score,
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UserPreferences=UserPreferences
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)
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# 5. Style Transfer tab
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with gr.Tab("Style Transfer"):
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style_transfer_components = create_style_transfer_tab(dog_style_transfer)
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# 6. History Search
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create_history_tab(history_component)
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# Footer
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