upload f5-tts source

app.py

@@ -66,7 +66,7 @@ def run_f5_tts(ref_audio_path, ref_text, gen_text, model="F5TTS_Base", speed=1.2
 
 def generate_speech(ref_audio, ref_text, gen_text, speed, model):
     if ref_audio is None:
-        return None, "⚠️ Vui lòng tải lên file audio tham chiếu!"
+        return None
 
     audio_segment = AudioSegment.from_file(ref_audio)
     audio_segment = audio_segment.set_channels(1)  # Chuyển sang mono
@@ -78,7 +78,10 @@ def generate_speech(ref_audio, ref_text, gen_text, speed, model):
     if os.path.exists(ref_audio_path):
         os.remove(ref_audio_path)
 
-    return output_mp3, message
+    if output_mp3 is None:
+        raise Exception(message)  # Hoặc xử lý lỗi theo cách khác, ví dụ print(message)
+
+    return output_mp3
 
 # ====================== Gradio UI ======================
 with gr.Blocks() as interface:
@@ -95,11 +98,9 @@ with gr.Blocks() as interface:
             btn = gr.Button("🚀 Sinh giọng nói")
 
         with gr.Column():
-            with gr.Group():  # gộp chung audio + trạng thái thành 1 khung
-                output_audio = gr.Audio(type="filepath", label="🔊 Kết quả audio (.mp3)")
-                output_status = gr.Textbox(label="📌 Trạng thái")
+            output_audio = gr.Audio(type="filepath", label="🔊 Kết quả audio (.mp3)")
 
-    btn.click(generate_speech, [ref_audio, ref_text, gen_text, speed, model], [output_audio, output_status])
+    btn.click(generate_speech, [ref_audio, ref_text, gen_text, speed, model], output_audio)
 
 if __name__ == "__main__":
     interface.launch(server_name="0.0.0.0", server_port=7860)