app.py

from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
import uvicorn
#import nest_asyncio
from pydantic import BaseModel, Field
import json
import pandas as pd
from simple_salesforce import Salesforce
from langchain.chains.question_answering import load_qa_chain
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate
from langchain.memory import ConversationBufferMemory
from langchain.chat_models import ChatOpenAI
from langchain.chains import RetrievalQA
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import FAISS
from langchain.document_loaders import DataFrameLoader
import os


app = FastAPI()

origins = ["*"]

app.add_middleware(
    CORSMiddleware,
    allow_origins=origins,
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)
    
@app.get('/')
def index():
    return """FastAPI Server Running on HuggingFace Spaces. Docs available at: https://einsteincoder-fastapi-demo.hf.space/docs"""

#if __name__ == '__main__':
    #nest_asyncio.apply()
    #uvicorn.run("app:app",host='localhost', port=5000, reload=True)
    #uvicorn.run(app,host='0.0.0.0', port=5000)