second

app.py

@@ -43,13 +43,13 @@ def query_chatgpt(text):
 
 
 
-models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
-    "facebook/tts_transformer-es-css10",
-    arg_overrides={"vocoder": "hifigan", "fp16": False}
-)
-model = models[0]
-TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
-generator = task.build_generator([model], cfg)
+# models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
+#     "facebook/tts_transformer-es-css10",
+#     arg_overrides={"vocoder": "hifigan", "fp16": False}
+# )
+# model = models[0]
+# TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
+# generator = task.build_generator([model], cfg)
 
 # text = "Había una vez."
 
@@ -60,10 +60,10 @@ generator = task.build_generator([model], cfg)
 from tts import synthesize
 
 
-def syn_facebookmms(text):
-    sample = TTSHubInterface.get_model_input(task, text)
-    wav,rate = TTSHubInterface.get_prediction(task, model, generator, sample)
-    return wav,rate
+# def syn_facebookmms(text):
+#     sample = TTSHubInterface.get_model_input(task, text)
+#     wav,rate = TTSHubInterface.get_prediction(task, model, generator, sample)
+#     return wav,rate
 
 def answer_question(filepath):
     transcription = transcribe_speech(filepath)

requirements.txt

@@ -9,4 +9,6 @@ torch
 torchvision
 matplotlib
 Unidecode
-openai
+openai
+dotenv
+fairseq