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import flask
from flask import Flask, request, jsonify
from langchain.document_loaders import WebBaseLoader
from langchain.chains.summarize import load_summarize_chain
from bs4 import BeautifulSoup
import os
from dotenv import load_dotenv
load_dotenv()
from langchain import HuggingFaceHub
from huggingface_hub import InferenceClient
import requests
import sys
hf_token = os.environ.get('HUGGINGFACEHUB_API_TOKEN')
#starchat_repo_id = os.environ.get('starchat_repo_id')
#repo_id=os.environ.get('repo_id')
#port = os.getenv('port')
llm = HuggingFaceHub(repo_id=starchat_repo_id, #for StarChat
huggingfacehub_api_token=hf_token,
model_kwargs={"min_length":512, #for StarChat
"max_new_tokens":1024, "do_sample":True, #for StarChat
"temperature":0.01,
"top_k":50,
"top_p":0.95, "eos_token_id":49155})
chain = load_summarize_chain(llm, chain_type="stuff")
app = Flask(__name__)
@app.route('/', methods=['POST'])
def home_api():
data = request.get_json()
user_query = data['user_question']
print(user_query)
return {"Message":"Flask Home API Deploy Success on HF"}
@app.route('/api/chat', methods=['POST'])
def chat():
#async def chat(): #Failed - Flask API 不支持async???
data = request.get_json()
user_query = data['user_question']
print(user_query)
if user_query !="" and not user_query.strip().isspace() and not user_query == "" and not user_query.strip() == "" and not user_query.isspace():
try:
loader = WebBaseLoader(user_query)
print(user_query)
docs = loader.load()
result=chain.run(docs)
print("AI Summarization: "+result)
return jsonify({'response': result})
except Exception as e:
err_msg="Wrong URL or URL not parsable."
print(err_msg)
return jsonify({'response': err_msg}) |