Update app.py

app.py

@@ -1,4 +1,4 @@
-# app.py - Final corrected version (Microphone-only input)
+# app.py - Fixed version (Microphone-only input)
 # Drop this into your HF Space alongside: avatar.png, avatar.js, style.css
 # Requirements: gradio, transformers, torch, gtts, pydub, faster-whisper (optional)
 # Notes: This version uses microphone-only input (gr.Audio sources=["microphone"])
@@ -199,7 +199,8 @@ def process_interaction(avatar_upload, mic_audio, typed_text, tts_lang):
     tts_gtts_save(reply_text, str(tts_path), lang=tts_lang or "en")
 
     # Build HTML to show avatar canvas and trigger lip-sync using avatar.js
-    audio_file_url = str(tts_path)  # Gradio will serve returned file path as client URL
+    # Use Gradio-served file path (client will resolve)
+    audio_file_url = str(tts_path)
     html = f"""
     <link rel="stylesheet" href="style.css">
     <div id="avatar-wrapper">
@@ -255,7 +256,8 @@ with gr.Blocks(title=title) as demo:
         with gr.Column(scale=1):
             html_out = gr.HTML(label="Animated avatar (plays reply)")
             txt_out = gr.Textbox(label="Assistant reply")
-            audio_out = gr.Audio(label="Reply audio", type="file")
+            # fixed: use 'filepath' which is a valid Gradio audio output type
+            audio_out = gr.Audio(label="Reply audio", type="filepath")
 
     def on_submit(avatar_upload_, mic_audio_, typed_text_, tts_lang_):
         return process_interaction(avatar_upload_, mic_audio_, typed_text_, tts_lang_)
@@ -283,4 +285,3 @@ with gr.Blocks(title=title) as demo:
 
 if __name__ == "__main__":
     demo.launch()
-