Create test.py

test.py

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+import gradio as gr
+import librosa
+import numpy as np
+import torch
+
+from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
+
+checkpoint = "burraco135/speecht5_finetuned_voxpopuli_it"
+processor = SpeechT5Processor.from_pretrained(checkpoint)
+model = SpeechT5ForTextToSpeech.from_pretrained(checkpoint)
+vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
+
+speaker_embeddings = r"C:\Users\ester\OneDrive\Documenti\VSCode\Hugging Face\tts\speaker_embeddings.npy"
+
+def predict(text, speaker):
+    # se il testo è vuoto, fai un array vuoto da 16000
+    if len(text.strip()) == 0:
+        return (16000, np.zeros(0).astype(np.int16))
+
+    # preprocess text
+    inputs = processor(text=text, return_tensors="pt")
+
+    vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
+    speech = model.generate_speech(speaker_embeddings, vocoder=vocoder)
+    return (16000, speech)
+
+
+title = "SpeechT5: Speech Synthesis"
+
+examples = [
+    ["It is not in the stars to hold our destiny but in ourselves.", "BDL (male)"],
+    ["The octopus and Oliver went to the opera in October.", "CLB (female)"],
+    ["She sells seashells by the seashore. I saw a kitten eating chicken in the kitchen.", "RMS (male)"],
+    ["Brisk brave brigadiers brandished broad bright blades, blunderbusses, and bludgeons—balancing them badly.", "SLT (female)"],
+    ["A synonym for cinnamon is a cinnamon synonym.", "BDL (male)"],
+    ["How much wood would a woodchuck chuck if a woodchuck could chuck wood? He would chuck, he would, as much as he could, and chuck as much wood as a woodchuck would if a woodchuck could chuck wood.", "CLB (female)"],
+]
+
+gr.Interface(
+    fn=predict,
+    inputs=[
+        gr.Text(label="Input Text")
+    ],
+    outputs=[
+        gr.Audio(label="Generated Speech", type="numpy"),
+    ],
+    title=title,
+    examples=examples,
+).launch()