Update app.py

app.py

@@ -71,19 +71,23 @@ def analyze_video(video):
 
     ai_scores = probs[:, ai_class_index].tolist()
 
-    # Verdict logic
-    ai_conf_threshold = 0.7
-    min_ai_frames = 3
     avg_score = sum(ai_scores) / len(ai_scores)
-    confident_ai_frames = sum(1 for score in ai_scores if score >= ai_conf_threshold)
-
-    if confident_ai_frames >= min_ai_frames:
-        verdict = "Video is likely AI-generated."
-    elif avg_score >= 0.5:
-        verdict = "Uncertain — some signs of AI generation but not enough evidence."
-    else:
-        verdict = "Video is likely REAL."
-
+    total_frames = len(ai_scores)
+    ai_frame_count = sum(1 for score in ai_scores if score >= 0.5)  # Soft threshold for "suspicious" frame
+    ai_frame_ratio = ai_frame_count / total_frames
+    
+    # Refined verdict based on AI frame ratio and confidence
+    if ai_frame_ratio < 0.25:
+        verdict = "✅ Very likely real — no strong signs of AI generation."
+    elif 0.25 <= ai_frame_ratio < 0.5:
+        verdict = "⚠️ Mostly real — a few signs could raise suspicion."
+    elif ai_frame_ratio >= 0.5:
+        if avg_score >= 0.85:
+            verdict = "🚨 Definitely AI-generated — high confidence across many frames."
+        elif avg_score >= 0.75:
+            verdict = "⚠️ Likely AI-generated — multiple signs suggest manipulation."
+        else:
+            verdict = "🤔 Unclear — the video shows mixed signals."
     # Output results
     results = []
     for frame_idx, pred, ai_score in zip(frame_numbers, predictions, ai_scores):