prithivMLmods commited on
Commit
e08c3aa
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1 Parent(s): 67726ae

Update app.py

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Files changed (1) hide show
  1. app.py +10 -6
app.py CHANGED
@@ -22,7 +22,8 @@ from alphabet_sign_language_detection import sign_language_classification
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  from rice_leaf_disease import classify_leaf_disease
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  from traffic_density import traffic_density_classification
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  from clip_art import clipart_classification
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- from multisource_121 import multisource_classification # New import
 
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  # Gradio-Theme
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  class Seafoam(Base):
@@ -97,6 +98,8 @@ def classify(image, model_name):
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  return clipart_classification(image)
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  elif model_name == "multisource":
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  return multisource_classification(image)
 
 
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  else:
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  return {"Error": "No model selected"}
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@@ -107,7 +110,7 @@ def select_model(model_name):
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  "gym workout": "secondary", "waste": "secondary", "age": "secondary", "mnist": "secondary",
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  "fashion_mnist": "secondary", "food": "secondary", "bird": "secondary", "leaf disease": "secondary",
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  "sign language": "secondary", "traffic density": "secondary", "clip art": "secondary",
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- "multisource": "secondary" # New model variant
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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))
@@ -175,7 +178,8 @@ with gr.Blocks(theme=seafoam) as demo:
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  sign_language_btn = gr.Button("Alphabet Sign Language", variant="secondary")
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  traffic_density_btn = gr.Button("Traffic Density", variant="secondary")
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  clip_art_btn = gr.Button("Art Classification", variant="secondary")
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- multisource_btn = gr.Button("Multi-Source Classification", variant="secondary") # New button
 
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  selected_model = gr.State("age")
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  gr.Markdown("### Current Model:")
@@ -185,12 +189,12 @@ with gr.Blocks(theme=seafoam) as demo:
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  buttons = [
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  gender_btn, emotion_btn, dog_breed_btn, deepfake_btn, gym_workout_btn, waste_btn,
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  age_btn, mnist_btn, fashion_mnist_btn, food_btn, bird_btn, leaf_disease_btn,
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- sign_language_btn, traffic_density_btn, clip_art_btn, multisource_btn # Include new button
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  ]
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  model_names = [
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  "gender", "emotion", "dog breed", "deepfake", "gym workout", "waste",
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  "age", "mnist", "fashion_mnist", "food", "bird", "leaf disease",
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- "sign language", "traffic density", "clip art", "multisource" # New model name
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  ]
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  for btn, name in zip(buttons, model_names):
@@ -216,4 +220,4 @@ with gr.Blocks(theme=seafoam) as demo:
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  siglip2_output = gr.Label(label="SigLIP 2 Output", num_top_classes=3)
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  zs_run_button.click(fn=infer, inputs=[zs_image_input, zs_text_input], outputs=[siglip1_output, siglip2_output])
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- demo.launch()
 
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  from rice_leaf_disease import classify_leaf_disease
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  from traffic_density import traffic_density_classification
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  from clip_art import clipart_classification
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+ from multisource_121 import multisource_classification
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+ from painting_126 import painting_classification # New import
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  # Gradio-Theme
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  class Seafoam(Base):
 
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  return clipart_classification(image)
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  elif model_name == "multisource":
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  return multisource_classification(image)
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+ elif model_name == "painting": # New option
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+ return painting_classification(image)
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  else:
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  return {"Error": "No model selected"}
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  "gym workout": "secondary", "waste": "secondary", "age": "secondary", "mnist": "secondary",
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  "fashion_mnist": "secondary", "food": "secondary", "bird": "secondary", "leaf disease": "secondary",
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  "sign language": "secondary", "traffic density": "secondary", "clip art": "secondary",
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+ "multisource": "secondary", "painting": "secondary" # New model variant
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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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  sign_language_btn = gr.Button("Alphabet Sign Language", variant="secondary")
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  traffic_density_btn = gr.Button("Traffic Density", variant="secondary")
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  clip_art_btn = gr.Button("Art Classification", variant="secondary")
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+ multisource_btn = gr.Button("Multi-Source Classification", variant="secondary")
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+ painting_btn = gr.Button("Painting Classification", variant="secondary") # New button
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  selected_model = gr.State("age")
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  gr.Markdown("### Current Model:")
 
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  buttons = [
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  gender_btn, emotion_btn, dog_breed_btn, deepfake_btn, gym_workout_btn, waste_btn,
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  age_btn, mnist_btn, fashion_mnist_btn, food_btn, bird_btn, leaf_disease_btn,
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+ sign_language_btn, traffic_density_btn, clip_art_btn, multisource_btn, painting_btn # Include new button
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  ]
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  model_names = [
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  "gender", "emotion", "dog breed", "deepfake", "gym workout", "waste",
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  "age", "mnist", "fashion_mnist", "food", "bird", "leaf disease",
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+ "sign language", "traffic density", "clip art", "multisource", "painting" # New model name
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  ]
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  for btn, name in zip(buttons, model_names):
 
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  siglip2_output = gr.Label(label="SigLIP 2 Output", num_top_classes=3)
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  zs_run_button.click(fn=infer, inputs=[zs_image_input, zs_text_input], outputs=[siglip1_output, siglip2_output])
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+ demo.launch()