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README.md

@@ -1,12 +1,6 @@
 ---
-title: Text To Speech Greek
-emoji: 🐠
-colorFrom: green
-colorTo: purple
-sdk: gradio
-sdk_version: 3.36.1
+title: text-to-speech-greek
 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

@@ -0,0 +1,112 @@
+import gradio as gr
+import torch
+from datasets import load_dataset
+from transformers import pipeline, SpeechT5Processor, SpeechT5HifiGan, SpeechT5ForTextToSpeech
+
+model_id = "Sandiago21/speecht5_finetuned_voxpopuli_it"  # update with your model id
+# pipe = pipeline("automatic-speech-recognition", model=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)
+
+checkpoint = "microsoft/speecht5_tts"
+processor = SpeechT5Processor.from_pretrained(checkpoint)
+
+replacements = [
+    ("ου", "u"),
+    ("αυ", "af"),
+    ("ευ", "ef"),
+    ("ει", "i"),
+    ("οι", "i"),
+    ("αι", "e"),
+    ("ού", "u"),
+    ("εί", "i"),
+    ("οί", "i"),
+    ("αί", "e"),
+    ("Ά", "A"),
+    ("Έ", "E"),
+    ("Ή", "H"),
+    ("Ί", "I"),
+    ("Ό", "O"),
+    ("Ύ", "Y"),
+    ("Ώ", "O"),
+    ("ΐ", "i"),
+    ("Α", "A"),
+    ("Β", "B"),
+    ("Γ", "G"),
+    ("Δ", "L"),
+    ("Ε", "Ε"),
+    ("Ζ", "Z"),
+    ("Η", "I"),
+    ("Θ", "Th"),
+    ("Ι", "I"),
+    ("Κ", "K"),
+    ("Λ", "L"),
+    ("Μ", "M"),
+    ("Ν", "N"),
+    ("Ξ", "Ks"),
+    ("Ο", "O"),
+    ("Π", "P"),
+    ("Ρ", "R"),
+    ("Σ", "S"),
+    ("Τ", "T"),
+    ("Υ", "Y"),
+    ("Φ", "F"),
+    ("Χ", "X"),
+    ("Ω", "O"),
+    ("ά", "a"),
+    ("έ", "e"),
+    ("ή", "i"),
+    ("ί", "i"),
+    ("α", "a"),
+    ("β", "v"),
+    ("γ", "g"),
+    ("δ", "d"),
+    ("ε", "e"),
+    ("ζ", "z"),
+    ("η", "i"),
+    ("θ", "th"),
+    ("ι", "i"),
+    ("κ", "k"),
+    ("λ", "l"),
+    ("μ", "m"),
+    ("ν", "n"),
+    ("ξ", "ks"),
+    ("ο", "o"),
+    ("π", "p"),
+    ("ρ", "r"),
+    ("ς", "s"),
+    ("σ", "s"),
+    ("τ", "t"),
+    ("υ", "i"),
+    ("φ", "f"),
+    ("χ", "h"),
+    ("ψ", "ps"),
+    ("ω", "o"),
+    ("ϊ", "i"),
+    ("ϋ", "i"),
+    ("ό", "o"),
+    ("ύ", "i"),
+    ("ώ", "o"),
+]
+
+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(),
+#     title="Hot Dog? Or Not?",
+).launch()

requirements.txt

@@ -0,0 +1,6 @@
+transformers
+torch
+datasets
+torchaudio
+sentencepiece==0.1.99
+