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from fastapi import FastAPI, Request
from llama_cpp import Llama
from huggingface_hub import hf_hub_download
import os
import requests
os.system("ulimit -l unlimited")
app = FastAPI()
hf_hub_download("TheBloke/deepseek-coder-1.3b-base-GGUF", "deepseek-coder-1.3b-base.Q5_K_M.gguf", local_dir="./")
model_l = Llama(model_path="./deepseek-coder-1.3b-base.Q5_K_M.gguf", n_ctx=16192, 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):
try:
data = await request.json()
prompt = data["prompt"]
mode = data['mode']
if mode == 'f':
return requests.post("https://mrali-codexpert-computing.hf.space/api", json={"prompt": prompt}).json()
else:
res = model_l(
prompt,
temperature=0.6,
echo=False,
max_tokens=41,
)
return {"responses": res["choices"]}
except:
return {"responses": "Error!"}
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860)
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