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README.md

@@ -1,12 +1,6 @@
 ---
-title: Text To Speech German
-emoji: 🌍
-colorFrom: purple
-colorTo: red
-sdk: gradio
-sdk_version: 3.38.0
+title: text-to-speech-german
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 3.36.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import torch
+from datasets import load_dataset
+from transformers import pipeline, SpeechT5Processor, SpeechT5HifiGan, SpeechT5ForTextToSpeech
+
+model_id = "Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german"  # update with your model id
+model = SpeechT5ForTextToSpeech.from_pretrained(model_id)
+vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
+embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
+speaker_embeddings = torch.tensor(embeddings_dataset[7440]["xvector"]).unsqueeze(0)
+
+processor = SpeechT5Processor.from_pretrained(model_id)
+
+replacements = [    
+    ("Ä", "E"),
+    ("Æ", "E"),
+    ("Ç", "C"),
+    ("É", "E"),
+    ("Í", "I"),
+    ("Ó", "O"),
+    ("Ö", "E"),
+    ("Ü", "Y"),
+    ("ß", "S"),
+    ("à", "a"),
+    ("á", "a"),
+    ("ã", "a"),
+    ("ä", "e"),
+    ("å", "a"),
+    ("ë", "e"),
+    ("í", "i"),
+    ("ï", "i"),
+    ("ð", "o"),
+    ("ñ", "n"),
+    ("ò", "o"),
+    ("ó", "o"),
+    ("ô", "o"),
+    ("ö", "u"),
+    ("ú", "u"),
+    ("ü", "y"),
+    ("ý", "y"),
+    ("Ā", "A"),
+    ("ā", "a"),
+    ("ă", "a"),
+    ("ą", "a"),
+    ("ć", "c"),
+    ("Č", "C"),
+    ("č", "c"),
+    ("ď", "d"),
+    ("Đ", "D"),
+    ("ę", "e"),
+    ("ě", "e"),
+    ("ğ", "g"),
+    ("İ", "I"),
+    ("О", "O"),
+    ("Ł", "L"),
+    ("ń", "n"),
+    ("ň", "n"),
+    ("Ō", "O"),
+    ("ō", "o"),
+    ("ő", "o"),
+    ("ř", "r"),
+    ("Ś", "S"),
+    ("ś", "s"),
+    ("Ş", "S"),
+    ("ş", "s"),
+    ("Š", "S"),
+    ("š", "s"),
+    ("ū", "u"),
+    ("ź", "z"),
+    ("Ż", "Z"),
+    ("Ž", "Z"),
+    ("ǐ", "i"),
+    ("ǐ", "i"),
+    ("ș", "s"),
+    ("ț", "t"),
+]
+
+
+title = "Text-to-Speech"
+description = """
+Demo for text-to-speech translation in German. Demo uses [Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german](https://huggingface.co/Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german) checkpoint, which is based on Microsoft's
+[SpeechT5 TTS](https://huggingface.co/microsoft/speecht5_tts) model and is fine-tuned in German Audio dataset
+![Text-to-Speech (TTS)"](https://geekflare.com/wp-content/uploads/2021/07/texttospeech-1200x385.png "Diagram of Text-to-Speech (TTS)")
+"""
+
+
+def cleanup_text(text):
+    for src, dst in replacements:
+        text = text.replace(src, dst)
+    return text
+
+def synthesize_speech(text):
+    text = cleanup_text(text)
+    inputs = processor(text=text, return_tensors="pt")
+
+    speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, vocoder=vocoder)
+
+    return gr.Audio.update(value=(16000, speech.cpu().numpy()))
+
+syntesize_speech_gradio = gr.Interface(
+    synthesize_speech,
+    inputs = gr.Textbox(label="Text", placeholder="Type something here..."),
+    outputs=gr.Audio(),
+    examples=["Daher wird die Reform der Europäischen Sozialfondsverordnung, die wir morgen beschließen, auch umgehend in Kraft treten."],
+    title=title,
+    description=description,
+).launch()

requirements.txt

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+transformers
+torch
+datasets
+torchaudio
+sentencepiece==0.1.99
+