update sth. at 2025-03-03 19:59:27

app.py

@@ -5,7 +5,6 @@ import torch
 import gradio as gr
 from fastapi import FastAPI, HTTPException, Depends
 from fastapi.middleware.cors import CORSMiddleware
-from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
 from pydantic import BaseModel, Field, model_validator
 from typing import List, Dict, Optional
 
@@ -106,7 +105,6 @@ app.add_middleware(
     allow_methods=["*"],
     allow_headers=["*"],
 )
-security = HTTPBearer()
 
 @app.post("/embed", response_model=EmbeddingResponse)
 @app.post("/api/embeddings", response_model=EmbeddingResponse)
@@ -117,7 +115,7 @@ security = HTTPBearer()
 @app.post("/hf/v1/embeddings", response_model=EmbeddingResponse)
 @app.post("/api/v1/chat/completions", response_model=EmbeddingResponse)
 @app.post("/hf/v1/chat/completions", response_model=EmbeddingResponse)
-async def generate_embeddings(request: EmbeddingRequest, credentials: HTTPAuthorizationCredentials = Depends(security)):
+async def generate_embeddings(request: EmbeddingRequest):
     try:
         # 计算token数量
         token_count = len(embedding_service.tokenizer.encode(request.inputs))