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from fastapi import FastAPI, Request
from llama_cpp import Llama
from huggingface_hub import hf_hub_download
import os
app = FastAPI()
# === Model Config ===
REPO_ID = "TheBloke/Mistral-7B-Instruct-v0.1-GGUF"
FILENAME = "mistral-7b-instruct-v0.1.Q4_K_M.gguf"
MODEL_DIR = "models"
MODEL_PATH = os.path.join(MODEL_DIR, FILENAME)
# === Download only if not already present ===
if not os.path.exists(MODEL_PATH):
print(f"Downloading model {FILENAME} from Hugging Face...")
model_path = hf_hub_download(
repo_id=REPO_ID,
filename=FILENAME,
cache_dir=MODEL_DIR,
local_dir=MODEL_DIR,
local_dir_use_symlinks=False
)
else:
print(f"Model already exists at: {MODEL_PATH}")
model_path = MODEL_PATH
# === Load LLM ===
llm = Llama(
model_path=model_path,
n_ctx=1024,
n_threads=4 # Adjust for your CPU
)
@app.get("/")
def root():
return {"message": "Mistral API is live!"}
@app.post("/generate")
async def generate(request: Request):
data = await request.json()
prompt = data.get("prompt", "")
response = llm(prompt, max_tokens=128, temperature=0.7)
return {"response": response["choices"][0]["text"]}
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