Update app.py

app.py

@@ -101,8 +101,8 @@ def detect(image, confidence_threshold=0.7, detailed_analysis=False):
         overall_result = f"{'🚫 LIKELY FAKE' if threshold_predicted == 'Fake' else '✅ LIKELY REAL'} ({confidence_score:.1f}% Confidence)"
         aigen_result = f"{aigen_likelihood:.1f}% Likelihood"
         deepfake_result = f"{face_manipulation_likelihood:.1f}% Likelihood"
-
-        # Create detailed report
+        
+        # Create detailed report - avoiding backslashes in f-string expressions
         feature_analysis_text = ""
         if detailed_analysis:
             for k, v in feature_analysis.items():
@@ -129,7 +129,6 @@ def detect(image, confidence_threshold=0.7, detailed_analysis=False):
         logger.error(f"Error during analysis: {str(e)}")
         raise gr.Error(f"Analysis failed: {str(e)}")
 
-        
 # Enhanced UI with professional design
 custom_css = """
 .container {
@@ -247,11 +246,11 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
         
         with gr.Column(scale=1):
             with gr.Group():
-                with gr.Box(elem_classes="panel"):
-                    gr.Markdown("<div class='panel-title'>Detection Results</div>")
-                    overall = gr.Textbox(label="Overall Assessment", show_label=True)
-                    aigen = gr.Textbox(label="AI-Generated Content", show_label=True)
-                    deepfake = gr.Textbox(label="Face Manipulation", show_label=True)
+                # Replace Box with a div using Markdown for older Gradio versions
+                gr.Markdown("<div class='panel'><div class='panel-title'>Detection Results</div></div>")
+                overall = gr.Textbox(label="Overall Assessment", show_label=True)
+                aigen = gr.Textbox(label="AI-Generated Content", show_label=True)
+                deepfake = gr.Textbox(label="Face Manipulation", show_label=True)
             
             report = gr.Markdown(label="Detailed Report")
     
@@ -268,7 +267,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
     # gr.Examples(
     #    examples=["examples/real_face.jpg", "examples/fake_face.jpg"],
     #    inputs=image
-    # )？
+    # )
 
 # Launch the application
 if __name__ == "__main__":