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from fastapi import FastAPI, Request, Body, HTTPException, Depends
from fastapi.security import APIKeyHeader
from typing import Optional
from huggingface_hub import InferenceClient
import random
API_URL = os.environ.get("API_URL")
API_KEY = os.environ.get("API_KEY")
MODEL_NAME = os.environ.get("MODEL_NAME")
client = InferenceClient(MODEL_NAME)
app = FastAPI()
security = APIKeyHeader(name="api_key", auto_error=False)
def get_api_key(api_key: Optional[str] = Depends(security)):
if api_key is None or api_key != API_KEY:
raise HTTPException(status_code=401, error="Unauthorized access")
return api_key
def format_prompt(message, history):
prompt = "<s>"
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/INST]"
prompt += f" {bot_response}</s> "
prompt += f"[INST] {message} [/INST]"
return prompt
@app.post("/api/v1/generate_text")
def generate_text(
request: Request,
body: dict = Body(...),
api_key: str = Depends(get_api_key)
):
prompt = body.get("prompt", "")
sys_prompt = body.get("sysPrompt", "")
temperature = body.get("temperature", 0.5)
top_p = body.get("top_p", 0.95)
max_new_tokens = body.get("max_new_tokens",512)
repetition_penalty = body.get("repetition_penalty", 1.0)
print(f"temperature + {temperature}")
history = [] # You might need to handle this based on your actual usage
formatted_prompt = format_prompt(prompt, history)
stream = client.text_generation(
formatted_prompt,
temperature=temperature,
max_new_tokens=max_new_tokens,
top_p=top_p,
repetition_penalty=repetition_penalty,
do_sample=True,
seed=random.randint(0, 10**7),
stream=False,
details=False,
return_full_text=False
)
return stream
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