create app.py boilerplate

app.py

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+import gradio as gr
+import os
+import tempfile
+import json
+import zipfile
+from your_yolox_module import run_yolox  # Your actual YOLOX implementation
+from your_crop_module import run_square_crop  # Your cropping implementation
+
+def process_yolox_api(files):
+    '''API endpoint for YOLOX processing.'''
+    if not files:
+        return [], "No files uploaded"
+    
+    # Create temporary directories
+    temp_dir = tempfile.mkdtemp()
+    input_dir = os.path.join(temp_dir, "input")
+    output_dir = os.path.join(temp_dir, "output")
+    cropped_dir = os.path.join(temp_dir, "cropped")
+    
+    os.makedirs(input_dir, exist_ok=True)
+    os.makedirs(output_dir, exist_ok=True)
+    os.makedirs(cropped_dir, exist_ok=True)
+    
+    # Save uploaded files
+    for file in files:
+        if file is not None:
+            shutil.copy(file.name, input_dir)
+    
+    try:
+        # Run YOLOX
+        coco_json_path = run_yolox(input_dir, output_dir)
+        
+        # Run cropping
+        cropped_paths = run_square_crop(input_dir, coco_json_path, cropped_dir)
+        
+        # Create zip file
+        zip_path = os.path.join(temp_dir, "cropped_results.zip")
+        with zipfile.ZipFile(zip_path, 'w') as zipf:
+            for img_path in cropped_paths:
+                if os.path.exists(img_path):
+                    zipf.write(img_path, os.path.basename(img_path))
+        
+        return zip_path, cropped_paths, f"Processed {len(cropped_paths)} images"
+        
+    except Exception as e:
+        return None, [], f"Error: {str(e)}"
+
+# Create interface with API endpoint
+with gr.Blocks() as yolox_demo:
+    gr.Markdown("# YOLOX Auto-Cropping Service")
+    
+    with gr.Row():
+        with gr.Column():
+            files_input = gr.File(label="Upload Images", file_count="multiple", file_types=["image"])
+            process_btn = gr.Button("Process", variant="primary")
+            
+        with gr.Column():
+            gallery_output = gr.Gallery(label="Cropped Images", columns=3, rows=2)
+            download_output = gr.File(label="Download Results")
+            status_output = gr.Textbox(label="Status", interactive=False)
+    
+    process_btn.click(
+        fn=process_yolox_api,
+        inputs=[files_input],
+        outputs=[download_output, gallery_output, status_output],
+        api_name="yolox_process"  # This creates the API endpoint
+    )
+
+yolox_demo.launch()