Create api.py

api.py

@@ -0,0 +1,30 @@
+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()