Delete test.py

test.py

@@ -1,49 +0,0 @@
-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()