Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -8,6 +8,7 @@ from augmented_waste_classifier import waste_classification
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from age_classification import age_classification
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from mnist_digits import classify_digit
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from fashion_mnist_cloth import fashion_mnist_classification
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# Main classification function that calls the appropriate model based on selection.
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def classify(image, model_name):
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@@ -29,6 +30,8 @@ def classify(image, model_name):
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return classify_digit(image)
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elif model_name == "fashion_mnist":
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return fashion_mnist_classification(image)
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else:
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return {"Error": "No model selected"}
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@@ -36,7 +39,8 @@ def classify(image, model_name):
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def select_model(model_name):
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model_variants = {
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"gender": "secondary", "emotion": "secondary", "dog breed": "secondary", "deepfake": "secondary",
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"gym workout": "secondary", "waste": "secondary", "age": "secondary", "mnist": "secondary",
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}
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model_variants[model_name] = "primary"
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return (model_name, *(gr.update(variant=model_variants[key]) for key in model_variants))
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@@ -53,15 +57,16 @@ with gr.Blocks() as demo:
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gym_workout_btn = gr.Button("Gym Workout Classification", variant="secondary")
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waste_btn = gr.Button("Waste Classification", variant="secondary")
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mnist_btn = gr.Button("Digit Classify (0-9)", variant="secondary")
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fashion_mnist_btn = gr.Button("Fashion MNIST", variant="secondary")
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selected_model = gr.State("age")
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gr.Markdown("### Current Model:")
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model_display = gr.Textbox(value="age", interactive=False)
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selected_model.change(lambda m: m, selected_model, model_display)
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buttons = [gender_btn, emotion_btn, dog_breed_btn, deepfake_btn, gym_workout_btn, waste_btn, age_btn, mnist_btn, fashion_mnist_btn]
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model_names = ["gender", "emotion", "dog breed", "deepfake", "gym workout", "waste", "age", "mnist", "fashion_mnist"]
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for btn, name in zip(buttons, model_names):
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btn.click(fn=lambda n=name: select_model(n), inputs=[], outputs=[selected_model] + buttons)
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from age_classification import age_classification
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from mnist_digits import classify_digit
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from fashion_mnist_cloth import fashion_mnist_classification
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from indian_western_food_classify import food_classification
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# Main classification function that calls the appropriate model based on selection.
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def classify(image, model_name):
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return classify_digit(image)
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elif model_name == "fashion_mnist":
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return fashion_mnist_classification(image)
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elif model_name == "food":
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return food_classification(image)
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else:
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return {"Error": "No model selected"}
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def select_model(model_name):
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model_variants = {
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"gender": "secondary", "emotion": "secondary", "dog breed": "secondary", "deepfake": "secondary",
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"gym workout": "secondary", "waste": "secondary", "age": "secondary", "mnist": "secondary",
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"fashion_mnist": "secondary", "food": "secondary"
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}
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model_variants[model_name] = "primary"
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return (model_name, *(gr.update(variant=model_variants[key]) for key in model_variants))
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gym_workout_btn = gr.Button("Gym Workout Classification", variant="secondary")
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waste_btn = gr.Button("Waste Classification", variant="secondary")
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mnist_btn = gr.Button("Digit Classify (0-9)", variant="secondary")
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fashion_mnist_btn = gr.Button("Fashion MNIST Classification", variant="secondary")
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food_btn = gr.Button("Indian/Western Food", variant="secondary")
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selected_model = gr.State("age")
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gr.Markdown("### Current Model:")
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model_display = gr.Textbox(value="age", interactive=False)
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selected_model.change(lambda m: m, selected_model, model_display)
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buttons = [gender_btn, emotion_btn, dog_breed_btn, deepfake_btn, gym_workout_btn, waste_btn, age_btn, mnist_btn, fashion_mnist_btn, food_btn]
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model_names = ["gender", "emotion", "dog breed", "deepfake", "gym workout", "waste", "age", "mnist", "fashion_mnist", "food"]
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for btn, name in zip(buttons, model_names):
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btn.click(fn=lambda n=name: select_model(n), inputs=[], outputs=[selected_model] + buttons)
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