app.py

from pydantic import BaseModel

from .ConfigEnv import config
from fastapi.middleware.cors import CORSMiddleware

from langchain.llms import Clarifai
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from TextGen import app


class Generate(BaseModel):
    text: str


def generate_text(prompt: str):
    if prompt == "":
        return {"detail": "Please provide a prompt."}
    else:
        prompt = PromptTemplate(template=prompt, input_variables=["Prompt"])
        llm = Clarifai(
            pat=config.CLARIFAI_PAT,
            user_id=config.USER_ID,
            app_id=config.APP_ID,
            model_id=config.MODEL_ID,
            model_version_id=config.MODEL_VERSION_ID,
        )
        llmchain = LLMChain(prompt=prompt, llm=llm)
        llm_response = llmchain.run({"Prompt": prompt})
        return Generate(text=llm_response)


app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


@app.get("/", tags=["Home"])
def api_home():
    return {"detail": "Welcome to FastAPI TextGen Tutorial!"}


@app.post(
    "/api/generate",
    summary="Generate text from prompt",
    tags=["Generate"],
    response_model=Generate,
)
def inference(input_prompt: str):
    return generate_text(prompt=input_prompt)