import numpy as np import gradio as gr import os import openai import newspaper import json import re from transformers import GPT2Tokenizer # define the text summarizer function def flip_text(request, page_url, contraseña, temp): try: page = newspaper.Article(url=page_url) page.download() page.parse() except Exception as e: return "", f"--- An error occurred while processing the URL: {e} ---", "" tokenizer = GPT2Tokenizer.from_pretrained("gpt2") tokens = tokenizer.tokenize(page.text) num_tokens = len(tokens) if num_tokens > 10 and num_tokens < 2000: openai.api_key = contraseña # get the response from openai API try: response = openai.Completion.create( engine="text-davinci-003", prompt=request + "\n\n" + page.text, max_tokens=2048, temperature=temp, top_p=0.9, ) # get the response text response_text = response.choices[0].text # clean the response text response_text = re.sub(r'\s+', ' ', response_text) return page.text, response_text, num_tokens except Exception as e: return page.text, f"--- An error occurred while processing the request: {e} ---", num_tokens return page.text, "--- Max number of tokens ---", num_tokens # define the gradio interface iface = gr.Interface( fn=flip_text, inputs=[gr.Textbox(lines=1, placeholder="분석하라:", label="프롬프트:", type="text"), gr.Textbox(lines=1, placeholder="URL을 붙여 넣으세요: ", label="URL 붙여넣기:", type="text"), gr.Textbox(lines=1, placeholder="승인된 API-key를 입력하세요.", label="API-Key:", type="password"), gr.Slider(0.0,1.0, value=0.7, label="Temperature:") ], outputs=[gr.Textbox(label="Input:"), gr.Textbox(label="Output:"), gr.Textbox(label="Tokens:")], examples=[["기사를 요약하라:","http://korating.com/news/view.php?idx=7573","",0.7], ["한글로 번역하라:\n- 요약:\n- 비즈니스 영향도:\n- 투자 가치:", "https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html","",0.7], ["종목 분석 요약하라:","https://securities.miraeasset.com/bbs/board/message/view.do?messageId=2297456&messageNumber=492&messageCategoryId=0&startId=zzzzz%7E&startPage=1&curPage=1&searchType=2&searchText=&searchStartYear=2022&searchStartMonth=02&searchStartDay=01&searchEndYear=2023&searchEndMonth=02&searchEndDay=01&lastPageFlag=&vf_headerTitle=&categoryId=1545","",0.7] ], title="한글 및 다국어 + ChatGPT + 멀티 모델링 기반 AI", description="Voice 자동 분석: https://seawolf2357-aivora.hf.space \n " ) error_message = "" try: iface.launch() except Exception as e: error_message = "An error occurred: " + str(e) iface.outputs[1].value = error_message