evahteev
diff --git a/‎llama_cpp/server/__main__.py
Copy file name to clipboardExpand all lines: llama_cpp/server/__main__.py
+12-3Lines changed: 12 additions & 3 deletions b/‎llama_cpp/server/__main__.py
Copy file name to clipboardExpand all lines: llama_cpp/server/__main__.py
+12-3Lines changed: 12 additions & 3 deletions
@@ -13,12 +13,13 @@
 """
 import os
 import json
+from threading import Lock
 from typing import List, Optional, Literal, Union, Iterator, Dict
 from typing_extensions import TypedDict
 
 import llama_cpp
 
-from fastapi import FastAPI
+from fastapi import Depends, FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel, BaseSettings, Field, create_model_from_typeddict
 from sse_starlette.sse import EventSourceResponse
@@ -59,6 +60,13 @@ class Settings(BaseSettings):
     n_ctx=settings.n_ctx,
     last_n_tokens_size=settings.last_n_tokens_size,
 )
+llama_lock = Lock()
+
+
+def get_llama():
+    with llama_lock:
+        yield llama
+
 
 
 class CreateCompletionRequest(BaseModel):
@@ -101,7 +109,7 @@ class Config:
     "/v1/completions",
     response_model=CreateCompletionResponse,
 )
-def create_completion(request: CreateCompletionRequest):
+def create_completion(request: CreateCompletionRequest, llama: llama_cpp.Llama=Depends(get_llama)):
     if isinstance(request.prompt, list):
         request.prompt = "".join(request.prompt)
 
@@ -146,7 +154,7 @@ class Config:
     "/v1/embeddings",
     response_model=CreateEmbeddingResponse,
 )
-def create_embedding(request: CreateEmbeddingRequest):
+def create_embedding(request: CreateEmbeddingRequest, llama: llama_cpp.Llama=Depends(get_llama)):
     return llama.create_embedding(**request.dict(exclude={"model", "user"}))
 
 
@@ -200,6 +208,7 @@ class Config:
 )
 def create_chat_completion(
     request: CreateChatCompletionRequest,
+    llama: llama_cpp.Llama=Depends(get_llama),
 ) -> Union[llama_cpp.ChatCompletion, EventSourceResponse]:
     completion_or_chunks = llama.create_chat_completion(
         **request.dict(