Upload app.py

app.py

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+import gradio as gr
+import tempfile
+from TTS.utils.synthesizer import Synthesizer
+from huggingface_hub import hf_hub_download
+
+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."
+pt_text = "O vento norte e o Sol discutiam quem era o mais forte, quando surgiu um viajante envolvido numa capa."
+
+TTS_VOICES = [
+  "Judith",
+  "Luc",
+  "Kerstin",
+  "Ed",
+  "Linda"
+]  
+
+TTS_LANGUAGES = [
+  "x-lb",
+  "x-de",
+  "fr-fr",
+  "en",
+  "pt-br"
+]
+
+
+my_examples = [
+  [lb_text,"x-lb","Luc"],
+  [de_text,"x-de","Judith"],
+  [fr_text,"fr-fr","Kerstin"],
+  [en_text,"en","Ed"],
+  [pt_text,"pt-br","Linda"],
+]
+
+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>"
+
+my_inputs = [
+  gr.inputs.Textbox(lines=5, label="Input Text", default=lb_text),
+  gr.inputs.Radio(label="Select a language", choices = TTS_LANGUAGES, default = "Lëtzebuergesch"),
+  gr.inputs.Radio(label="Select a voice", choices = TTS_VOICES, default = "Judith"),
+]
+
+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")
+    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(
+        best_model_path,
+        config_path,
+        speakers_path,
+        languages_path,
+        None,
+        None,
+        speaker_encoder_model_path,
+        speaker_encoder_config_path,
+        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 
+ 
+iface = gr.Interface(
+    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()