Update app.py

app.py

@@ -992,7 +992,7 @@ def create_gradio_interface(model_path: str, default_max_tokens: int = 8192, att
                 context_info_input = gr.Textbox(
                     label="Context Information",
                     placeholder="Enter hotwords, speaker names, topics, or other context to help transcription...\nExample:\nJohn Smith\nMachine Learning\nOpenAI",
-                    value="群益投信\n日日扣\n華夏盛世\n全球優先順位非投資等級債",
+                    value="",
                     lines=4,
                     max_lines=8,
                     interactive=True,
@@ -1099,23 +1099,23 @@ def create_gradio_interface(model_path: str, default_max_tokens: int = 8192, att
         )
         
         # # Add examples
-        # gr.Markdown("## 📋 Instructions")
-        # gr.Markdown(f"""
-        # 1. **Upload Audio**: Use the audio component to upload a file or record from microphone
-        #    - **Supported formats**: {', '.join(sorted(set([ext.lower() for ext in COMMON_AUDIO_EXTS])))}
-        #    - Optionally set **Start/End time** (seconds or hh:mm:ss) to clip before transcription
-        # 2. **Context Info (Optional)**: Provide context to improve transcription accuracy
-        #    - Add hotwords, proper nouns, speaker names, or technical terms
-        #    - One item per line or comma-separated
-        #    - Examples: "John Smith", "OpenAI", "machine learning"
-        # 3. **Adjust Parameters**: Configure generation parameters as needed
-        # 4. **Transcribe**: Click "Transcribe" to get results
-        # 5. **Review Results**: 
-        #    - **Raw Output**: View the model's original output
-        #    - **Audio Segments**: Play individual segments directly to verify accuracy
-        
-        # **Audio Segments**: Each segment shows the time range, speaker ID, transcribed content, and an embedded audio player for immediate verification.
-        # """)
+        gr.Markdown("## 📋 Instructions")
+        gr.Markdown(f"""
+        1. **Upload Audio**: Use the audio component to upload a file or record from microphone
+           - **Supported formats**: {', '.join(sorted(set([ext.lower() for ext in COMMON_AUDIO_EXTS])))}
+           - Optionally set **Start/End time** (seconds or hh:mm:ss) to clip before transcription
+        2. **Context Info (Optional)**: Provide context to improve transcription accuracy
+           - Add hotwords, proper nouns, speaker names, or technical terms
+           - One item per line or comma-separated
+           - Examples: "John Smith", "OpenAI", "machine learning"
+        3. **Adjust Parameters**: Configure generation parameters as needed
+        4. **Transcribe**: Click "Transcribe" to get results
+        5. **Review Results**: 
+           - **Raw Output**: View the model's original output
+           - **Audio Segments**: Play individual segments directly to verify accuracy
+        
+        **Audio Segments**: Each segment shows the time range, speaker ID, transcribed content, and an embedded audio player for immediate verification.
+        """)
     
     return demo, custom_css