Spaces:
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feat: update
Browse files
app.py
CHANGED
@@ -1,45 +1,65 @@
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from typing import List, Literal
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from pydantic import BaseModel, Field
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from fastapi import FastAPI, APIRouter, Request
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from fastapi.middleware.cors import CORSMiddleware
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from sentence_transformers import SentenceTransformer
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import uvicorn
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#
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app = FastAPI()
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# CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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#
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model = SentenceTransformer('Alibaba-NLP/gte-multilingual-base', trust_remote_code=True)
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#
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class PostEmbeddings(BaseModel):
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type: Literal['default', 'disease', 'gte'] = Field(default='default')
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sentences: List[str]
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#
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router = APIRouter(
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@
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def post_embeddings(
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embeddings = model.encode(data.sentences)
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return {
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app.
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#
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uvicorn.run("api:app", host="0.0.0.0", port=8000, reload=True)
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#
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if __name__ == "__main__":
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from typing import List, Literal
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from pydantic import BaseModel, Field
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import gradio as gr
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from fastapi import FastAPI, APIRouter, Request
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from fastapi.middleware.cors import CORSMiddleware
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from sentence_transformers import SentenceTransformer
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import uvicorn
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import requests
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import asyncio
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import threading
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# Khởi tạo FastAPI
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app = FastAPI()
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# Thêm middleware CORS để cho phép yêu cầu từ Gradio
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Cho phép tất cả các nguồn
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Tải mô hình
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model = SentenceTransformer(model_name_or_path='Alibaba-NLP/gte-multilingual-base', trust_remote_code=True)
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# Định nghĩa mô hình dữ liệu cho yêu cầu
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class PostEmbeddings(BaseModel):
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type: Literal['default', 'disease', 'gte'] = Field(default='default')
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sentences: List[str]
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# Tạo router cho API
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router = APIRouter(
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prefix="/retrieval",
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tags=["retrieval"],
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responses={404: {"description": "Not found"}},
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)
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@app.post("/retrieval/embeddings")
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def post_embeddings(data: PostEmbeddings):
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embeddings = model.encode(data.sentences)
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return {
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'data': {
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'embeddings': embeddings.tolist(),
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'type': data.type
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}
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}
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# Hàm Gradio để gọi API FastAPI
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# async def run_gradio():
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# demo.launch(share=True)
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async def run_uvicorn():
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config = uvicorn.Config("app:app", host="0.0.0.0", port=8000, reload=True)
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server = uvicorn.Server(config)
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await server.serve()
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# async def main():
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# await asyncio.gather(run_uvicorn(), run_gradio())
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# Khởi động server
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if __name__ == "__main__":
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asyncio.run(run_uvicorn())
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