Update app.py

app.py

@@ -3,62 +3,54 @@ import tempfile
 from TTS.utils.synthesizer import Synthesizer
 from huggingface_hub import hf_hub_download
 
+# Repositório do modelo no Hugging Face Hub
 REPO_ID = "mbarnig/lb-de-fr-en-pt-coqui-vits-tts"
 
-my_title = "🇩🇪 🇫🇷 🇬🇧 🇵🇹 Mir schwätzen och Lëtzebuergesch ! 🇱🇺"
-my_description = "First multilingual-multispeaker Text-to-Speech (TTS) synthesizer speaking Luxembourgish. This model is based on [YourTTS](https://github.com/Edresson/YourTTS), thanks to 🐸 [Coqui.ai](https://coqui.ai/)." 
-lb_text = "An der Zäit hunn sech den Nordwand an d'Sonn gestridden, wie vun hinnen zwee wuel méi staark wier, wéi e Wanderer, deen an ee waarme Mantel agepak war, iwwert de Wee koum."
-de_text = "Einst stritten sich Nordwind und Sonne, wer von ihnen beiden wohl der Stärkere wäre, als ein Wanderer, der in einen warmen Mantel gehüllt war, des Weges daherkam."
-fr_text = "La bise et le soleil se disputaient, chacun assurant qu'il était le plus fort, quand ils ont vu un voyageur qui s'avançait, enveloppé dans son manteau."
-en_text = "The North Wind and the Sun were disputing which was the stronger, when a traveler came along wrapped in a warm cloak."
+# Configurações da interface
+my_title = "🇵🇹 Sintetizador de Fala em Português com Coqui TTS"
+my_description = "Um sintetizador de fala em português baseado no modelo YourTTS da Coqui.ai. Insira o texto e gere o áudio!"
 pt_text = "O vento norte e o Sol discutiam quem era o mais forte, quando surgiu um viajante envolvido numa capa."
 
+# Vozes disponíveis para português
 TTS_VOICES = [
-  "Bernard",
-  "Bunny",
-  "Ed",
-  "Guy",
-  "Judith",
-  "Kerstin",
-  "Linda",
-  "Thorsten"
-]  
-
-TTS_LANGUAGES = [
-  "Deutsch",
-  "English",
-  "Français",
-  "Lëtzebuergesch",  
-  "Português"
+    "Ed",  # Voz masculina
+    "Linda"  # Voz feminina
 ]
 
+# Exemplo de uso
 my_examples = [
-  [lb_text, "Judith", "Lëtzebuergesch"],
-  [de_text, "Thorsten", "Deutsch"],
-  [fr_text, "Bernard", "Français"],
-  [en_text, "Linda", "English"],
-  [pt_text, "Ed", "Português"]
+    [pt_text, "Ed"],  # Texto em português com voz masculina
+    [pt_text, "Linda"]  # Texto em português com voz feminina
 ]
 
-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>"
+# Artigo com informações adicionais
+my_article = """
+<h3>Guia do Usuário</h3>
+<p>1. Insira o texto em português no campo de entrada.</p>
+<p>2. Selecione a voz desejada (masculina ou feminina).</p>
+<p>3. Clique em "Submit" para gerar o áudio.</p>
+<p>4. Reproduza o áudio gerado ou faça o download.</p>
+"""
 
+# Componentes de entrada e saída
 my_inputs = [
-  gr.Textbox(lines=5, label="Input Text"),
-  gr.Radio(label="Speaker", choices = TTS_VOICES, value = "Judith"),
-  gr.Radio(label="Language", choices = TTS_LANGUAGES, value = "Lëtzebuergesch"),
+    gr.Textbox(lines=5, label="Texto em Português", placeholder="Insira o texto aqui..."),
+    gr.Radio(label="Voz", choices=TTS_VOICES, value="Ed")  # Voz padrão: masculina
 ]
 
-my_outputs = gr.Audio(type="filepath", label="Output Audio")
+my_outputs = gr.Audio(type="filepath", label="Áudio Gerado")
 
-def tts(text: str, speaker_idx: str, language_idx: str):
-    best_model_path = hf_hub_download(repo_id=REPO_ID, filename="best_model.pth") 
+# Função para sintetizar a fala
+def tts(text: str, speaker_idx: str):
+    # Baixar os arquivos do modelo
+    best_model_path = hf_hub_download(repo_id=REPO_ID, filename="best_model.pth")
     config_path = hf_hub_download(repo_id=REPO_ID, filename="config.json")
     speakers_path = hf_hub_download(repo_id=REPO_ID, filename="speakers.pth")
     languages_path = hf_hub_download(repo_id=REPO_ID, filename="language_ids.json")
     speaker_encoder_model_path = hf_hub_download(repo_id=REPO_ID, filename="model_se.pth")
     speaker_encoder_config_path = hf_hub_download(repo_id=REPO_ID, filename="config_se.json")
-    
-    # init synthesizer  
+
+    # Inicializar o sintetizador
     synthesizer = Synthesizer(
         best_model_path,
         config_path,
@@ -71,20 +63,25 @@ def tts(text: str, speaker_idx: str, language_idx: str):
         False
     )
 
-    # create audio file
-    wavs = synthesizer.tts(text, speaker_idx, language_idx)
-    with tempfile.NamedTemporaryFile(suffix = ".wav", delete = False) as fp:
-        synthesizer.save_wav(wavs, fp)                      
-    return fp.name 
- 
+    # Gerar o áudio
+    wavs = synthesizer.tts(text, speaker_idx, "Português")  # Idioma fixo: Português
+
+    # Salvar o áudio em um arquivo temporário
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
+        synthesizer.save_wav(wavs, fp)
+    return fp.name
+
+# Criar a interface Gradio
 iface = gr.Interface(
-    fn=tts, 
-    inputs=my_inputs, 
-    outputs=my_outputs, 
-    title=my_title, 
-    description = my_description, 
-    article = my_article,
-    examples = my_examples, 
+    fn=tts,
+    inputs=my_inputs,
+    outputs=my_outputs,
+    title=my_title,
+    description=my_description,
+    article=my_article,
+    examples=my_examples,
     allow_flagging=False
 )
-iface.launch()
+
+# Iniciar a interface
+iface.launch()