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app.py

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+import gradio as gr
+from utils.inference_router import process_video
+
+parameters = [
+    "Bridges", "Encroachment", "Structure Progress",
+    "Potholes", "Crack", "Unauthorized Median Opening",
+    "Crash Barriers", "Entry/Exit of Highway", "Drain",
+    "Tree Height", "Latitude", "VARI"
+]
+
+def detect(video, selected_params):
+    return process_video(video, selected_params)
+
+with gr.Blocks() as app:
+    gr.Markdown("## 🛣️ AI Road Surveillance Analyzer")
+
+    video_input = gr.Video(label="Upload Surveillance Video")
+    param_input = gr.CheckboxGroup(choices=parameters, label="Select Parameters")
+    btn = gr.Button("Run Detection")
+    output_gallery = gr.Gallery(label="Detection Results")
+
+    btn.click(fn=detect, inputs=[video_input, param_input], outputs=output_gallery)
+
+app.launch()

requirements.txt

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+gradio
+opencv-python
+torch
+numpy