teste

app.py

@@ -1,5 +1,7 @@
 import gradio as gr
 import json
+from TTS.api import TTS
+
 #from bark import SAMPLE_RATE, generate_audio, preload_models
 #from bark.generation import SUPPORTED_LANGS
 #from share_btn imposrt community_icon_html, loading_icon_html, share_js
@@ -27,11 +29,11 @@ MAX_TEXT_LENGTH = 10000
 SUPPORTED_LANGS_BY_APP = ["en", "es", "fr", "it", "pt", "nl"]
 SUPPORTED_LANGS_BY_MODEL = ["en", "es", "fr", "it", "pt", "nl"]
 
-def predict(text, lang, audio, request: gr.Request):
+def predict(input_text, input_lang, audio, request: gr.Request):
     
     output_text = {"verdict ": "SUCCESS"}  # Initialize as a dictionary
-    output_text["Text"] = text
-    output_text["Language"] = lang
+    output_text["Text"] = input_text
+    output_text["Language"] = input_lang
     
     if request:
         # Convert headers to a dictionary and include them in the output_text
@@ -40,29 +42,33 @@ def predict(text, lang, audio, request: gr.Request):
     if not request:
         gr.Warning("No request")
         return None
-    if len(text) < MIN_TEXT_LENGTH:
+    if len(input_text) < MIN_TEXT_LENGTH:
         gr.Warning("Text to short. Please provide a longer text, min " + str(MIN_TEXT_LENGTH)+" characters")
         return None
-    if len(text) > MAX_TEXT_LENGTH:
+    if len(input_text) > MAX_TEXT_LENGTH:
         gr.Warning("Text to long. Please provide a shorter text, max " + str(MAX_TEXT_LENGTH)+" characters")
         return None
-    if lang not in SUPPORTED_LANGS_BY_MODEL:
+    if input_lang not in SUPPORTED_LANGS_BY_MODEL:
         gr.Warning("Language not supported by the model. Please select a supported language")
         return None        
     else:
-        if lang not in SUPPORTED_LANGS_BY_APP:
+        if input_lang not in SUPPORTED_LANGS_BY_APP:
             gr.Warning("Language not supported for now. Please select a supported language")
             return None
     
-        
+    #try:
+    #    tts.tts_to_file(
+    #        text=input_text,
+    #        file_path="output.wav",
+    #        speaker_wav=speaker_wav,
+    #        language=input_lang
+    #    )    
         
     #if not audio:
     #    gr.Warning("Please provide an audio file")
     #    return None
             
 
-
-
     output_text_json = json.dumps(output_text)
     return output_text_json
 

requirements.txt

@@ -5,3 +5,4 @@ bark
 #share_btn
 flask
 #bark.generation
+TTS