update

app.py

@@ -228,24 +228,25 @@ def process_input(video, audio):
         timeline_df = get_emotion_timeline()
         advice = get_practitioner_advice(face_emotion, voice_emotion)
         
-        return {
-            "current_face": face_emotion,
-            "current_voice": voice_emotion,
-            "timeline": timeline_df,
-            "advice": advice,
-            "face_details": str(face_details),
-            "voice_details": str(voice_details)
-        }
+        # Return values separately instead of as a dictionary
+        return (
+            face_emotion,  # current_face
+            voice_emotion,  # current_voice
+            timeline_df,    # timeline
+            advice,        # advice
+            str(face_details),  # face_details
+            str(voice_details)   # voice_details
+        )
     except Exception as e:
         print(f"Processing error: {str(e)}")
-        return {
-            "current_face": "Error",
-            "current_voice": "Error",
-            "timeline": pd.DataFrame(),
-            "advice": "System error occurred",
-            "face_details": "",
-            "voice_details": ""
-        }
+        return (
+            "Error",  # current_face
+            "Error",  # current_voice
+            pd.DataFrame(),  # timeline
+            "System error occurred",  # advice
+            "",  # face_details
+            ""   # voice_details
+        )
 
 # Gradio interface
 with gr.Blocks(title="Patient Emotion Recognition", theme="soft") as demo: