fix

app.py

@@ -35,13 +35,13 @@ def process_ocr_qa(text, lang_choice):
             
             # Language detection
             if 'language' in result:
-                output_lines.append(f"🌍 **Language:** {result['language']}")
+                output_lines.append(f"🌍 <b>Language:</b> {result['language']}")
             
             # Quality score
             if 'score' in result:
                 score = result['score']
                 score_emoji = "🟢" if score >= 0.8 else "🟡" if score >= 0.5 else "🔴"
-                output_lines.append(f"{score_emoji} **Quality Score:** {score:.1f}")
+                output_lines.append(f"{score_emoji} <b>Quality Score:</b> {score:.1f}")
             
             # Diagnostics section
             if 'diagnostics' in result and result['diagnostics']:
@@ -49,28 +49,28 @@ def process_ocr_qa(text, lang_choice):
                 
                 # Model information
                 if 'model_id' in diagnostics:
-                    output_lines.append(f"🤖 **Model:** {diagnostics['model_id']}")
+                    output_lines.append(f"🤖 <b>Model:</b> {diagnostics['model_id']}")
                 
                 # Known tokens
                 if 'known_tokens' in diagnostics and diagnostics['known_tokens']:
                     known_tokens = diagnostics['known_tokens']
-                    output_lines.append(f"✅ **Known tokens ({len(known_tokens)}):** {', '.join(known_tokens)}")
+                    output_lines.append(f"✅ <b>Known tokens ({len(known_tokens)}):</b> {', '.join(known_tokens)}")
                 
                 # Unknown tokens (potential OCR errors)
                 if 'unknown_tokens' in diagnostics and diagnostics['unknown_tokens']:
                     unknown_tokens = diagnostics['unknown_tokens']
-                    output_lines.append(f"❌ **Potential OCR errors ({len(unknown_tokens)}):** {', '.join(unknown_tokens)}")
+                    output_lines.append(f"❌ <b>Potential OCR errors ({len(unknown_tokens)}):</b> {', '.join(unknown_tokens)}")
                 elif 'unknown_tokens' in diagnostics:
-                    output_lines.append("✨ **No potential OCR errors detected!**")
+                    output_lines.append("✨ <b>No potential OCR errors detected!</b>")
             
             # Other fields
             for key, value in result.items():
                 if key not in ['language', 'score', 'diagnostics']:
-                    output_lines.append(f"🔍 **{key.replace('_', ' ').title()}:** {value}")
+                    output_lines.append(f"🔍 <b>{key.replace('_', ' ').title()}:</b> {value}")
             
-            return "\n\n".join(output_lines)
+            return "<br><br>".join(output_lines)
         else:
-            return f"✨ **Processed Result:** {result}"
+            return f"✨ Processed Result: {result}"
             
     except Exception as e:
         print("❌ Pipeline error:", e)
@@ -110,10 +110,9 @@ with gr.Blocks(title="OCR QA Demo") as demo:
         
         with gr.Column():
             with gr.Row():
-                output = gr.Textbox(
+                output = gr.HTML(
                     label="Analysis Results", 
-                    lines=15,
-                    placeholder="Results will appear here...",
+                    value="<p style='color: #666;'>Results will appear here...</p>",
                     scale=10
                 )
                 info_btn = gr.Button("Pipeline Info", size="sm", scale=1)