Update app.py

app.py

@@ -80,24 +80,23 @@ tone_color_converter.load_ckpt(f'{ckpt_converter_en}/checkpoint.pth')
 
 
 def generate_audio(text, audio_ref, temperature, top_P, top_K, audio_seed_input, text_seed_input, refine_text_flag, refine_text_input):
-    if style_mode=="default":
-        source_se = torch.load(f'{ckpt_base_en}/en_default_se.pth').to(device)
-        reference_speaker = audio_ref
-        target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, target_dir='processed', vad=True)
-        save_path = "output.wav"
-
-        # Run the base speaker tts
-        src_path = "tmp.wav"
-        chat_tts(text, temperature, top_P, top_K, audio_seed_input, text_seed_input, refine_text_flag, refine_text_input, src_path)
-
-        # Run the tone color converter
-        encode_message = "@MyShell"
-        tone_color_converter.convert(
-            audio_src_path=src_path,
-            src_se=source_se,
-            tgt_se=target_se,
-            output_path=save_path,
-            message=encode_message)
+    source_se = torch.load(f'{ckpt_base_en}/en_default_se.pth').to(device)
+    reference_speaker = audio_ref
+    target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, target_dir='processed', vad=True)
+    save_path = "output.wav"
+
+    # Run the base speaker tts
+    src_path = "tmp.wav"
+    chat_tts(text, temperature, top_P, top_K, audio_seed_input, text_seed_input, refine_text_flag, refine_text_input, src_path)
+
+    # Run the tone color converter
+    encode_message = "@MyShell"
+    tone_color_converter.convert(
+        audio_src_path=src_path,
+        src_se=source_se,
+        tgt_se=target_se,
+        output_path=save_path,
+        message=encode_message)
 
     return "output.wav"