gradio changes

app.py

@@ -50,8 +50,6 @@ os.chmod("ffmpeg", st.st_mode | stat.S_IEXEC)
 # This will trigger downloading model
 print("Downloading Coqui XTTS V2")
 
-#model_name = "tts_models/multilingual/multi-dataset/xtts_v2"
-#ModelManager().download_model(model_name)
 model_folder = "model/"
 config_file = "config.json"
 if not os.path.exists(model_folder + config_file):
@@ -87,7 +85,6 @@ model.load_checkpoint(
     eval=True,
     use_deepspeed=False,
 )
-#model.cuda()
 
 # This is for debugging purposes only
 DEVICE_ASSERT_DETECTED = 0
@@ -683,19 +680,17 @@ with gr.Blocks(analytics_enabled=False) as demo:
                     "hu",
                     "hi"
                 ],
-                max_choices=1,
+                multiselect=False,
                 value="et",
             )
             ref_gr = gr.Audio(
                 label="Reference Audio",
-                info="Click on the ✎ button to upload your own target speaker audio",
                 type="filepath",
                 value="examples/LJ001-0030.wav",
             )
             mic_gr = gr.Audio(
                 source="microphone",
                 type="filepath",
-                info="Use your microphone to record audio",
                 label="Use Microphone for Reference",
             )
             use_mic_gr = gr.Checkbox(

app_local.py

@@ -21,7 +21,6 @@ def load_model():
     return XTTS_MODEL
 
 model = load_model()
-#model.cuda()
 
 def predict(sentence, language, reference_clip):
     if not reference_clip or not reference_clip.split('.')[-1] in ['mp3', 'wav']:

requirements.txt

@@ -27,7 +27,6 @@ pandas>=1.4,<2.0
 # deps for training
 matplotlib>=3.7.0
 # coqui stack
-trainer>=0.0.36
 coqui-tts-trainer>=0.2.0,<0.3.0
 # config management
 coqpit-config>=0.1.1,<0.2.0