import requests
import gradio as gr
from bs4 import BeautifulSoup
from rich import print
from urllib.parse import urlparse
from urllib.parse import parse_qs
def run_lora(prompt,site,start,end):
# to search
query = "Python programming"
url = f"https://www.google.com/search?q=inurl:{site}+{prompt}&tbs=cdr%3A1%2Ccd_min%3A{start}%2Ccd_max%3A {end}"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
print(soup)
links = soup.findAll("a")
mLink=""
extract_results(soup)
def extract_results(soup):
main = soup.select_one("#main")
res = []
for gdiv in main.select('.g, .fP1Qef'):
res.append(extract_section(gdiv))
return res
def extract_section(gdiv):
# Getting our elements
title = gdiv.select_one('h3')
link = gdiv.select_one('a')
description = gdiv.find('.BNeawe')
return {
# Extract title's text only if text is found
'title': title.text if title else None,
'link': extract_href(link['href']) if link else None,
'description': description.text if description else None
}
def extract_href(href):
url = urlparse(href)
query = parse_qs(url.query)
if not ('q' in query and query['q'] and len(query['q']) > 0):
return None
return query['q'][0]
with gr.Blocks() as app:
gr.HTML("""
Get survey
""")
with gr.Row():
with gr.Column():
input_textbox = gr.Textbox(lines=5, placeholder="Enter key", label="Input Text")
input_sitebox = gr.Textbox(lines=5, placeholder="Enter site", label="Site Text")
start = gr.Textbox(lines=5, placeholder="Enter start", label="Enter start")
end = gr.Textbox(lines=5, placeholder="Enter End", label="Enter End")
with gr.Column():
translated_textbox = gr.Textbox(lines=5, placeholder="", label="Result Text")
info_label = gr.HTML("")
btn = gr.Button("GetNow")
btn.click(run_lora, inputs=[input_textbox,input_sitebox,start,end],outputs=[translated_textbox])
app.queue()
app.launch()