Delete gradio

gradio/app.py

@@ -1,37 +0,0 @@
-import gradio as gr
-import os
-
-# Paths to the images folder (use relative paths)
-RAW_PATH = ".gradio/images/raw"
-EMBEDDINGS_PATH = ".gradio/images/embeddings"
-
-# Function to display images based on user selection
-def display_images(percentage, complexity):
-    # Format the filenames based on user selections
-    raw_image_path = f"{RAW_PATH}/percentage_{percentage}_complexity_{complexity}.png"
-    embeddings_image_path = f"{EMBEDDINGS_PATH}/percentage_{percentage}_complexity_{complexity}.png"
-    
-    # Return the corresponding images for raw and embeddings
-    return raw_image_path, embeddings_image_path
-
-# Define the Gradio interface
-# Step 2: Pass arrays of values for data percentage and task complexity
-data_percentage_options = [10, 30, 50, 70, 100]
-task_complexity_options = [16, 32]
-
-demo = gr.Interface(
-    fn=display_images,
-    inputs=[
-        gr.Dropdown(data_percentage_options, label="Percentage of Data for Training"),  # Dropdown for data percentage
-        gr.Radio(task_complexity_options, label="Task Complexity")  # Radio for task complexity
-    ],
-    outputs=[
-        gr.Image(label="Raw Channels"),
-        gr.Image(label="Embeddings")
-    ],
-    title="Raw vs. Embeddings Inference Results",
-    description="Select a data percentage and task complexity to view the corresponding inference result for raw channels and embeddings."
-)
-
-if __name__ == "__main__":
-    demo.launch()