Spaces:
Sleeping
Sleeping
| import requests | |
| from bs4 import BeautifulSoup | |
| import json | |
| import os | |
| from langchain.llms import OpenAI | |
| from langchain.prompts import PromptTemplate | |
| import gradio as gr | |
| EVENTBRITE_API_KEY = os.environ['EVENTBRITE_API_KEY'] | |
| def get_event_id(url): | |
| uid = url.split('?')[0] | |
| uid = uid.split('/')[-1] | |
| uid = uid.split('-')[-1] | |
| return uid | |
| def get_title_subtitle_from_event(event_url): | |
| # Get the title and subtitle | |
| res = requests.get(url=event_url) | |
| soup = BeautifulSoup(res.content, 'html.parser') | |
| tag_classes = {'title': 'event-title', | |
| 'subtitle': 'summary', | |
| 'details': 'has-user-generated-content'} | |
| title = soup.find(class_ = tag_classes['title']).text | |
| subtitle = soup.find(class_ = tag_classes['subtitle']).text | |
| return title, subtitle | |
| def get_event_details(event_url): | |
| # Now get details: | |
| event_id = get_event_id(event_url) | |
| headers = {'Authorization': 'Bearer {}'.format(EVENTBRITE_API_KEY)} | |
| params = {} | |
| base_url = "https://www.eventbriteapi.com/v3/events/{id}/structured_content/" | |
| r = requests.get(base_url.format(id=event_id), headers=headers, params=params) | |
| effective_encoding = 'utf-8-sig' #r.apparent_encoding # | |
| r.encoding = effective_encoding | |
| res_tree = json.loads(r.text) | |
| content = res_tree['modules'][0]['data']['body']['text'] | |
| content = content.replace('\ufeff', '') # Remove byte order mark for utf-8-sig decoding. | |
| soup = BeautifulSoup(content, 'html.parser') | |
| details = soup.get_text(separator=' ') | |
| return details | |
| def get_eventbrite_summary(event_url, top_level_prompt_stub): | |
| title, subtitle = get_title_subtitle_from_event(event_url) | |
| details = get_event_details(event_url) | |
| temperature = 0.3 | |
| openai_modeltype = "text-davinci-003" | |
| top_level_prompt = top_level_prompt_stub + """ | |
| Event Title:{title} | |
| Event Subtitle: {subtitle} | |
| Event Description: | |
| {description}""" | |
| prompt = PromptTemplate( | |
| input_variables=['title', 'subtitle', 'description'], | |
| template=top_level_prompt, | |
| ) | |
| chat_prompt = prompt.format_prompt(title=title, subtitle=subtitle, description=details) | |
| llm = OpenAI(model_name=openai_modeltype, temperature=temperature) | |
| res = llm(chat_prompt.to_messages()[0].content) | |
| return res.strip() | |
| top_level_prompt_stub = """You are a journalist writing a calendar of events, and need to create succinct, fun, and energizing summaries of events in 1-2 sentences. You will be given a description of an event you need to summarize; please respond with your brief, fun, and engaging summary.""" | |
| prompt_textbox = gr.Textbox(value=top_level_prompt_stub) | |
| url_textbox = gr.Textbox(value='https://www.eventbrite.com/e/greenermind-summit-2023-tickets-576308392917', | |
| placeholder='full eventbrite url') | |
| demo = gr.Interface(fn=get_eventbrite_summary, | |
| inputs=[url_textbox, prompt_textbox], | |
| outputs=['text'] | |
| ) | |
| demo.launch() | |