| import requests |
| from bs4 import BeautifulSoup |
| from transformers import pipeline |
| import gradio as gr |
|
|
| def get_web_page(url): |
| response = requests.get(url) |
| soup = BeautifulSoup(response.text, 'html.parser') |
| return soup.text |
|
|
| def answer_question(question, context): |
| qa_pipeline = pipeline("question-answering", model="tiiuae/falcon-40b") |
| result = qa_pipeline({ |
| 'context': context, |
| 'question': question |
| }) |
| return result['answer'] |
|
|
| def app(symbol, question): |
| url = f"https://finance.yahoo.com/quote/{symbol}" |
| context = get_web_page(url) |
| answer = answer_question(question, context) |
| return answer |
|
|
| iface = gr.Interface(fn=app, inputs=["text", "text"], outputs="text") |
| iface.launch() |
|
|
