Update app.py

app.py

@@ -325,74 +325,74 @@ def create_interface():
             """
             return welcome_text, gr.update(selected="기준 설정")
 
-       def play_music():
+        def play_music():
             audio_path = os.path.abspath(os.path.join("assets", "main_music.mp3"))
             return gr.update(value=audio_path, autoplay=True)
 
 
-       def save_reflection(text, state):
-           if not text.strip():
-               return state, state["reflections"]
-           
-           try:
-               current_time = datetime.now().strftime("%H:%M:%S")
-               sentiment = text_analyzer(text)[0]
-               new_reflection = [current_time, text, f"{sentiment['label']} ({sentiment['score']:.2f})"]
-               
-               state = state.copy()
-               if "reflections" not in state:
-                   state["reflections"] = []
-                   
-               state["reflections"].append(new_reflection)
-               return state, state["reflections"]
-           except Exception as e:
-               print(f"Error in save_reflection: {str(e)}")
-               return state, []
-
-       def analyze_voice(audio_path, state):
-           if audio_path is None:
-               return state, "음성을 먼저 녹음해주세요.", "", "", ""
-           
-           try:
-               result = analyze_voice_with_retry(audio_path, state)
-               
-               voice_result = (
-                   f"음성 감정: {result['emotions']['primary']} "
-                   f"(강도: {result['emotions']['intensity']:.1f}%, "
-                   f"신뢰도: {result['emotions']['confidence']:.2f})\n"
-                   f"특징: {', '.join(result['emotions']['characteristics'])}"
-               )
-               
-               text_result = f"텍스트 감정: {result['sentiment']['label']} "
-               f"(강도: {result['sentiment']['score']}/5)"
-               
-               prompt = generate_detailed_prompt(
-                   result['text'],
-                   result['emotions'],
-                   result['sentiment']
-               )
-               
-               return state, result['text'], voice_result, text_result, prompt
-           except Exception as e:
-               return state, f"오류 발생: {str(e)}", "", "", ""
-
-       def update_sending_tab(state):
-           """청신의 감상과 기원의 음성을 종합하여 송신 탭 업데이트"""
-           combined = "청신과 기원의 여정을 담은 이미지:\n\n"
-           combined += update_final_prompt(state)
-           return combined
-
-       # 이벤트 연결
-       start_btn.click(fn=start_journey, inputs=[name_input], outputs=[user_display, tabs])
-       play_music_btn.click(fn=play_music, outputs=[audio])
-       save_btn.click(fn=save_reflection, inputs=[reflection_input, state], outputs=[state, reflections_display])
-       analyze_btn.click(fn=analyze_voice, inputs=[voice_input, state], outputs=[state, transcribed_text, voice_emotion, text_emotion, final_prompt])
-       continue_to_prayer_btn.click(fn=lambda: gr.update(selected="기원"), outputs=[tabs])
-       tabs.change(fn=update_sending_tab, inputs=[state], outputs=[combined_prompt])
-       generate_btn.click(fn=generate_image_from_prompt, inputs=[combined_prompt], outputs=[result_image])
-
-       return app
+        def save_reflection(text, state):
+            if not text.strip():
+                return state, state["reflections"]
+            
+            try:
+                current_time = datetime.now().strftime("%H:%M:%S")
+                sentiment = text_analyzer(text)[0]
+                new_reflection = [current_time, text, f"{sentiment['label']} ({sentiment['score']:.2f})"]
+                
+                state = state.copy()
+                if "reflections" not in state:
+                    state["reflections"] = []
+                    
+                state["reflections"].append(new_reflection)
+                return state, state["reflections"]
+            except Exception as e:
+                print(f"Error in save_reflection: {str(e)}")
+                return state, []
+
+        def analyze_voice(audio_path, state):
+            if audio_path is None:
+                return state, "음성을 먼저 녹음해주세요.", "", "", ""
+            
+            try:
+                result = analyze_voice_with_retry(audio_path, state)
+                
+                voice_result = (
+                    f"음성 감정: {result['emotions']['primary']} "
+                    f"(강도: {result['emotions']['intensity']:.1f}%, "
+                    f"신뢰도: {result['emotions']['confidence']:.2f})\n"
+                    f"특징: {', '.join(result['emotions']['characteristics'])}"
+                )
+                
+                text_result = f"텍스트 감정: {result['sentiment']['label']} "
+                f"(강도: {result['sentiment']['score']}/5)"
+                
+                prompt = generate_detailed_prompt(
+                    result['text'],
+                    result['emotions'],
+                    result['sentiment']
+                )
+                
+                return state, result['text'], voice_result, text_result, prompt
+            except Exception as e:
+                return state, f"오류 발생: {str(e)}", "", "", ""
+
+        def update_sending_tab(state):
+            """청신의 감상과 기원의 음성을 종합하여 송신 탭 업데이트"""
+            combined = "청신과 기원의 여정을 담은 이미지:\n\n"
+            combined += update_final_prompt(state)
+            return combined
+
+        # 이벤트 연결
+        start_btn.click(fn=start_journey, inputs=[name_input], outputs=[user_display, tabs])
+        play_music_btn.click(fn=play_music, outputs=[audio])
+        save_btn.click(fn=save_reflection, inputs=[reflection_input, state], outputs=[state, reflections_display])
+        analyze_btn.click(fn=analyze_voice, inputs=[voice_input, state], outputs=[state, transcribed_text, voice_emotion, text_emotion, final_prompt])
+        continue_to_prayer_btn.click(fn=lambda: gr.update(selected="기원"), outputs=[tabs])
+        tabs.change(fn=update_sending_tab, inputs=[state], outputs=[combined_prompt])
+        generate_btn.click(fn=generate_image_from_prompt, inputs=[combined_prompt], outputs=[result_image])
+
+        return app
 
 if __name__ == "__main__":
-   demo = create_interface()
-   demo.launch(debug=True) 
+    demo = create_interface()
+    demo.launch(debug=True)