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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__) | |
def home_api(): | |
data = request.get_json() | |
user_query = data['user_question'] | |
print(user_query) | |
return {"Message":"Flask Home API Deploy Success on HF"} | |
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}) |