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from fastapi import FastAPI, Request
from llama_cpp import Llama
from huggingface_hub import hf_hub_download
app = FastAPI()
hf_hub_download("TheBloke/deepseek-coder-1.3b-instruct-GGUF", "deepseek-coder-1.3b-instruct.Q5_K_M.gguf", local_dir="./")
model_l = Llama(model_path="./deepseek-coder-1.3b-instruct.Q5_K_M.gguf", n_ctx=16000, n_gpu_layers=0, n_threads=2, use_mlock = True))
@app.get("/check")
async def index():
return {"msg": "Hey!"}
@app.post("/api")
async def completion(request: Request):
data = await request.json()
prompt = data["prompt"]
res = model_l(
prompt,
temperature=0.5,
echo=False,
max_tokens=32,
)
return {"responses": res["choices"]}
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860)
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