Update app.py

app.py

@@ -1,22 +1,17 @@
 import gradio as gr
-# CRITICAL: This is the line the error is complaining about
 from gradio_client import Client, handle_file 
 import os
 
-# Get the token from Space Secrets
 hf_token = os.environ.get("HF_TOKEN")
 
-# 1. SETUP CLIENTS
-# We wrap this in a function to handle errors gracefully
 def safe_client(space_id):
     try:
-        # If the import worked, this will now run
         return Client(space_id, token=hf_token)
     except Exception as e:
-        print(f"⚠️ Could not connect to {space_id}: {e}")
+        print(f"⚠️ Connection failed for {space_id}: {e}")
         return None
 
-# Initializing your sub-spaces
+# Sub-space clients
 speech_emo_client = safe_client("E-motionAssistant/ser-wav2vec")
 text_emo_client   = safe_client("E-motionAssistant/Space4")
 llm_english       = safe_client("E-motionAssistant/TherapyEnglish")
@@ -25,12 +20,8 @@ tts_client         = safe_client("E-motionAssistant/Space3")
 def main_orchestrator(audio_input, text_input, history):
     if history is None:
         history = []
-    
-    # Verify LLM is connected
-    if not llm_english:
-        return history + [["System", "Error: TherapyEnglish client not initialized."]], None
 
-    # --- EMOTION LOGIC ---
+    # 1. EMOTION LOGIC
     emotion = "Neutral"
     try:
         if audio_input:
@@ -40,8 +31,7 @@ def main_orchestrator(audio_input, text_input, history):
     except:
         emotion = "Neutral"
 
-    # --- LLM LOGIC ---
-    # Convert history for Gradio 6
+    # 2. LLM LOGIC (Strict format for the sub-space API)
     api_history = []
     for u, b in history:
         api_history.append({"role": "user", "content": [{"type": "text", "text": str(u)}]})
@@ -50,6 +40,7 @@ def main_orchestrator(audio_input, text_input, history):
     prompt = f"Context: User is {emotion}. Message: {text_input}"
     
     try:
+        # Calling your sub-space
         response = llm_english.predict(
             message={"role": "user", "content": [{"type": "text", "text": prompt}]},
             history=api_history,
@@ -58,7 +49,7 @@ def main_orchestrator(audio_input, text_input, history):
     except Exception as e:
         response = f"LLM Error: {str(e)}"
 
-    # --- TTS ---
+    # 3. TTS LOGIC
     audio_res = None
     try:
         if tts_client:
@@ -66,6 +57,8 @@ def main_orchestrator(audio_input, text_input, history):
     except:
         audio_res = None
 
+    # 4. UPDATE HISTORY
+    # Simple list format [[user, bot]] is compatible with ALL Gradio versions
     history.append([text_input, response])
     return history, audio_res
 
@@ -78,9 +71,10 @@ with gr.Blocks() as demo:
             text_in = gr.Textbox(label="Message")
             btn = gr.Button("Send")
         with gr.Column():
-            chat = gr.Chatbot(label="Therapy History", type="messages")
+            # REMOVED type="messages" to fix the TypeError
+            chatbot_ui = gr.Chatbot(label="Therapy History") 
             audio_out = gr.Audio(autoplay=True)
 
-    btn.click(main_orchestrator, [audio_in, text_in, state], [chat, audio_out])
+    btn.click(main_orchestrator, [audio_in, text_in, state], [chatbot_ui, audio_out])
 
 demo.launch()