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import os
from fastapi import FastAPI, Query
from pydantic import BaseModel
from typing import List
from huggingface_hub import InferenceClient
from deep_translator import GoogleTranslator
from sse_starlette.sse import EventSourceResponse
from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv()) # read local .env file
hf_api_key = os.environ['HF_TOKEN']
app = FastAPI()
# Initialize the InferenceClient and the translators
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1", token=hf_api_key)
# translator_to_en = GoogleTranslator(source='vietnamese', target='english')
# translator_to_ar = GoogleTranslator(source='english', target='vietnamese')
class PromptRequest(BaseModel):
message: str
history: List[List[str]]
class GenerateResponse(BaseModel):
output: str
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
def generate_responses(response_stream):
for response in response_stream:
yield response.token.text
@app.post("/generate")
async def generate(prompt_request: PromptRequest,
temperature: float = Query(0.9, ge=0.0, le=1.0),
max_new_tokens: int = Query(256, ge=0, le=1048),
top_p: float = Query(0.90, ge=0.0, le=1.0),
repetition_penalty: float = Query(1.2, ge=1.0, le=2.0),
stream: bool = Query(False, description="Set to True to return response stream, False to return full text")):
formatted_prompt = format_prompt(prompt_request.message, prompt_request.history)
generate_kwargs = dict(
temperature=temperature,
max_new_tokens=max_new_tokens,
top_p=top_p,
repetition_penalty=repetition_penalty,
do_sample=True,
seed=42,
)
if stream:
response_stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
return EventSourceResponse(generate_responses(response_stream), media_type="text/event-stream") # media_type="application/x-ndjson"
else:
response = client.text_generation(formatted_prompt, **generate_kwargs, stream=False, details=True, return_full_text=False)
return response.generated_text
@app.post("/translate")
def translate(text: str, source: str, target: str):
if source == target:
return {"translated_text": text}
translator = GoogleTranslator(source=source, target=target)
translated_text = translator.translate(text)
return {"translated_text": translated_text}
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