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ec7397c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | from fastapi import FastAPI
import uvicorn
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser
from langserve import add_routes
from dotenv import load_dotenv
from langchain_groq import ChatGroq
import os
load_dotenv()
GROQ_API_KEY = os.getenv("GROQ_API_KEY")
os.environ["GROQ_API_KEY"] = GROQ_API_KEY
model = ChatGroq(model="llama-3.3-70b-versatile")
template = """You are a useful assistant.
Only answer the User Question:
{question}
"""
prompt = ChatPromptTemplate.from_template(template)
parser = StrOutputParser()
chain = prompt | model | parser
app = FastAPI(
title="My LLM API",
description="FastAPI-based LLM API with memory using LangServe",
version="1.0",
)
add_routes(app, chain, path="/qa")
if __name__ == "__main__":
uvicorn.run(app, host="localhost", port=8000)
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