Update app.py

app.py

@@ -1,15 +1,20 @@
+import os
 import gradio as gr
-from app import DeepfakeAnalyzer  # Import your backend code
+
+# Clone the GitHub repository containing app.py if not already cloned
+REPO_URL = "https://github.com/NeeravSood/AllMark-MVP"  # Replace with your GitHub repo URL
+if not os.path.exists("AllMark-MVP"):  # Replace with your repo's folder name
+    os.system(f"git clone {REPO_URL}")
+
+# Import the backend code after cloning the repo
+from repository_name.app import DeepfakeAnalyzer  # Adjust based on your repo and file structure
 
 # Initialize the analyzer instance
 analyzer = DeepfakeAnalyzer()
 
-# Define the Gradio function to analyze the video and return detailed results
+# Define the function for Gradio to call
 def analyze_video(video_file):
-    # Run the analyzer on the video file
     results = analyzer.analyze_media(video_file)
-    
-    # Prepare detailed results
     combined_probability = results['combined_assessment']
     audio_analysis = results["audio_analysis"]
     video_probability = results['video_analysis']['probability']
@@ -43,7 +48,7 @@ interface = gr.Interface(
     inputs=gr.Video(label="Upload Video"),
     outputs="json",
     title="Deepfake Analyzer",
-    description="Upload a video to analyze for deepfake content. The analyzer provides audio and video analysis results."
+    description="Upload a video to analyze for deepfake content."
 )
 
 # Launch Gradio app