UI: Remove Maya Chat column as requested and stabilize TTS audio buffer format

app.py

@@ -312,33 +312,14 @@ with gr.Blocks(title="Maya: Immersive Manga AI", css=CUSTOM_CSS) as demo:
     with gr.Tabs():
         with gr.Tab("📖 Comic Reader Mode"):
             with gr.Row():
-                # --- Maya Assistant Sidebar ---
-                import base64
-                from maya_var import MAYA_B64
-                maya_path = "maya_ui.png"
-                try:
-                    with open(maya_path, "wb") as f:
-                        f.write(base64.b64decode(MAYA_B64.split(",")[1]))
-                except: pass
-
-                with gr.Column(scale=1, min_width=180, elem_classes=["glass"]):
-                    maya_img = gr.Image(value=maya_path, label="Maya", interactive=False)
-                    maya_chat_log = gr.Markdown("Maya: *உங்களுக்காக காத்திருக்கிறேன்...* ❤️", elem_id="maya_chat_log")
-                    maya_chat_input = gr.Textbox(placeholder="Message Maya...", show_label=False, container=False)
-                    maya_talk_btn = gr.Button("Talk to Maya ❤️", size="sm", variant="primary")
-                    maya_audio = gr.Audio(visible=False, autoplay=True, elem_id="maya_audio_player")
-                    
-                    gr.Markdown("---")
-                    gr.Markdown("<small>Press 'B' for Panic Mode</small>")
-
-                with gr.Column(scale=4, min_width=300, elem_classes=["glass"]):
+                with gr.Column(scale=5, min_width=300, elem_classes=["glass"]):
                     comic_display = gr.Image(label="Comic Page", type="filepath", height=600, elem_id="main_comic")
                     with gr.Row():
                         prev_btn = gr.Button("⬅️ Prev", scale=1)
                         page_status = gr.Label(value="Upload PDF", scale=2)
                         next_btn = gr.Button("Next ➡️", scale=1)
                 
-                with gr.Column(scale=3, min_width=300, elem_classes=["glass"]):
+                with gr.Column(scale=4, min_width=300, elem_classes=["glass"]):
                     with gr.Group():
                         gr.Markdown("### ⚙️ Master Settings")
                         comic_upload = gr.File(label="Upload (PDF/EPUB)", file_types=[".pdf", ".epub"], height=80)
@@ -405,26 +386,6 @@ with gr.Blocks(title="Maya: Immersive Manga AI", css=CUSTOM_CSS) as demo:
                     out_text = gr.Textbox(label="Original Text (Cleaned)", lines=5)
                     out_tamil = gr.Textbox(label="Tamil Translation", lines=5)
                     out_audio = gr.Audio(label="Audio Output")
-
-    # --- Maya Assistant Logic ---
-    def maya_chat(msg, level):
-        if not msg or len(msg.strip()) < 1:
-            return gr.update(), ""
-        response = get_maya_response(msg, level)
-        return response, ""
-
-    def maya_speaks(level):
-        # Trigger an intelligent greeting based on mood
-        msg = "Hi Maya, enna panre?" 
-        response = get_maya_response(msg, level)
-        txt = response.replace("Maya: *", "").replace("*", "")
-        
-        voice = "Soft & Seductive (Maya)" if level > 50 else "Cheerful (Maya)"
-        aud = generate_tamil_speech(txt, voice)
-        return response, aud
-
-    maya_talk_btn.click(maya_speaks, inputs=[heat_level], outputs=[maya_chat_log, maya_audio])
-    maya_chat_input.submit(maya_chat, inputs=[maya_chat_input, heat_level], outputs=[maya_chat_log, maya_chat_input], show_progress="hidden")
     
     # --- Dynamic Temperature & Heartbeat Speed Logic ---
     def update_mood(level, bgm):

pipeline/tts.py

@@ -38,10 +38,21 @@ class TamilTTS:
         try:
             await communicate.save(tmp_path)
             data, samplerate = sf.read(tmp_path)
-            return samplerate, data
-        finally:
-            if os.path.exists(tmp_path):
+            # Ensure it's a writable float32 array for Gradio
+            audio_data = np.array(data, dtype='float32')
+            
+            # Cleanup temp file
+            try:
                 os.remove(tmp_path)
+            except: pass
+            
+            return samplerate, audio_data
+        except Exception as e:
+            print(f"TTS GENERATION ERROR: {e}")
+            if os.path.exists(tmp_path):
+                try: os.remove(tmp_path)
+                except: pass
+            raise e
 
 # Persistent loop to avoid file descriptor conflicts
 _GLOBAL_LOOP = None