Upload 5 files

app.py

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+
+import gradio as gr
+import os
+
+def analyze_lie(audio_file, video_file):
+    # Placeholder logic
+    score = 78  # simulate result
+    return f"Deception Score: {score}%", "Likely Deceptive" if score > 70 else "Likely Truthful"
+
+iface = gr.Interface(
+    fn=analyze_lie,
+    inputs=[
+        gr.Audio(source="upload", type="filepath", label="Upload Audio"),
+        gr.Video(source="upload", label="Upload Video")
+    ],
+    outputs=[
+        gr.Textbox(label="Deception Score"),
+        gr.Textbox(label="Verdict")
+    ],
+    title="Lie Detection System",
+    description="Upload a voice and video sample to analyze deception likelihood"
+)
+
+if __name__ == "__main__":
+    iface.launch()

audio/README.md

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+# Audio processing scripts here

models/README.md

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+# Place any pre-trained models here

requirements.txt

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+
+gradio
+opencv-python
+mediapipe
+pyAudioAnalysis
+torch
+transformers

video/README.md

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+# Video processing scripts here