Spaces:
Runtime error
Runtime error
| 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}) |