api.py

import gradio as gr
import torch
from transformers import T5ForConditionalGeneration,T5Tokenizer
import soundfile as sf
import librosa
from transformers import pipeline

import requests
import json

API_TOKEN = 'your-api-token'  # 你在Hugging Face网站上的API令牌
API_URL = 'https://api-inference.huggingface.co/models/gpt2'  # 根据你的模型选择合适的URL

headers = {
    "Authorization": f"Bearer {API_TOKEN}",
}

def generate(inp):
    data = json.dumps({"inputs": inp})
    response = requests.request("POST", API_URL, headers=headers, data=data)
    return json.loads(response.content.decode("utf-8"))[0]['generated_text']

iface = gr.Interface(
    fn=generate,
    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
    outputs="text",
    title="Text-to-Speech",
    description="Convert your text into speech!",
)
iface.launch()