Upload app.py

app.py

@@ -14,11 +14,14 @@ en_text = "The North Wind and the Sun were disputing which was the stronger, whe
 pt_text = "O vento norte e o Sol discutiam quem era o mais forte, quando surgiu um viajante envolvido numa capa."
 
 TTS_VOICES = [
+  "Bunny",
   "Judith",
-  "Luc",
   "Kerstin",
-  "Ed",
   "Linda"
+  "Bernard",
+  "Ed",
+  "Guy",
+  "Thorsten"
 ]  
 
 TTS_LANGUAGES = [
@@ -31,11 +34,11 @@ TTS_LANGUAGES = [
 
 
 my_examples = [
-  [lb_text, "Luc", "Lëtzebuergesch"],
-  [de_text, "Judith", "Deutsch"],
-  [fr_text, "Kerstin", "Français"],
-  [en_text, "Ed", "English"],
-  [pt_text, "Linda", "Português"]
+  [lb_text, "Judith", "Lëtzebuergesch"],
+  [de_text, "Thorsten", "Deutsch"],
+  [fr_text, "Bernard", "Français"],
+  [en_text, "Linda", "English"],
+  [pt_text, "Ed", "Português"]
 ]
 
 my_article = "<h3>User guide</h3><p>1. Press the Submit button to generate a speech file with the default values. 2. Change the default values by clicking an example row. 3. Select a language and a voice and enter your own text. Have fun!</p><p>Go to <a href='https://www.web3.lu/category/audio-technologies/'>Internet with a Brain</a> to read some technical infos.</p>"
@@ -50,18 +53,11 @@ my_outputs = gr.outputs.Audio(type="file", label="Output Audio")
 
 def tts(text: str, speaker_idx: str, language_idx: str):
     best_model_path = hf_hub_download(repo_id=REPO_ID, filename="best_model.pth") 
-    print(best_model_path)  
     config_path = hf_hub_download(repo_id=REPO_ID, filename="config.json")
-    print(config_path)
     speakers_path = hf_hub_download(repo_id=REPO_ID, filename="speakers.pth")
-    print(speakers_path)
     languages_path = hf_hub_download(repo_id=REPO_ID, filename="language_ids.json")
-    # languages_path = "/home/mbarnig/GRADIO/gradio/language_ids.json"
-    print(languages_path)
     speaker_encoder_model_path = hf_hub_download(repo_id=REPO_ID, filename="model_se.pth")
-    print(speaker_encoder_model_path)
     speaker_encoder_config_path = hf_hub_download(repo_id=REPO_ID, filename="config_se.json")
-    print(speaker_encoder_config_path)
     
     # init synthesizer  
     synthesizer = Synthesizer(
@@ -77,10 +73,7 @@ def tts(text: str, speaker_idx: str, language_idx: str):
     )
 
     # create audio file
-    print("speaker_idx : " + speaker_idx)
-    print("language_idx : " + language_idx)
     wavs = synthesizer.tts(text, speaker_idx, language_idx)
-    # wavs = synthesizer.tts(text, "Ed", "x-lb")
     with tempfile.NamedTemporaryFile(suffix = ".wav", delete = False) as fp:
         synthesizer.save_wav(wavs, fp)                      
     return fp.name