Update app.py

app.py

@@ -43,7 +43,7 @@ def detect(image, confidence_threshold=0.5):
         face_manipulation_likelihood = confidence_fake  # Refine if possible
         
         # Add diagnostic output for debugging
-        logger.info(f"Probabilities - Real: {confidence_real:.1f}%, Fake: {confidence_fake:.1f}%")
+        logger.info(f"Image: {image.name}, Probabilities - Real: {confidence_real:.1f}%, Fake: {confidence_fake:.1f}%, Predicted: {predicted_label}")
         
         overall = f"{confidence_score:.1f}% Confidence ({threshold_predicted})"
         aigen = f"{aigen_likelihood:.1f}% (AI-Generated Content Likelihood)"
@@ -112,7 +112,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
     with gr.Row(elem_classes="container"):
         with gr.Column(scale=1):
             image = gr.Image(type='filepath', height=400, label="Upload Image")
-            threshold = gr.Slider(0, 1, value=0.5, step=0.01, label="Confidence Threshold (Fake)")
+            threshold = gr.Slider(0, 1, value=0.7, step=0.01, label="Confidence Threshold (Fake)")
             detect_button = gr.Button("Analyze Image", elem_classes="button-gradient")
         with gr.Column(scale=2):
             overall = gr.Label(label="Confidence Score")