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import requests
import gradio as gr
from bs4 import BeautifulSoup
from rich import print
from urllib.parse import urlparse
from googlesearch import search
from urllib.parse import parse_qs
def run_lora(prompt,site,start,end):
j = "https://www.google.com/search?q=inurl:"+site +"+"+ prompt + "&tbs=cdr%3A1%2Ccd_min%3A"+start+"%2Ccd_max%3A" + end
links=""
page = requests.get(j, headers = {'User-agent': 'your bot 0.1'})
soup = BeautifulSoup(page.content,"html.parser")
import re
links = soup.findAll("a")
print(links)
mLink=""
#for link in soup.find_all("a", "html.parser", parse_only=SoupStrainer('a')):
for link in soup.find_all("a","html.parser",href=re.compile("(?<=/url\?q=)(htt.*://.*)")):
print (re.split(":(?=http)",link["href"].replace("/url?q=","")))
mLink+=str(re.split(":(?=http)",link["href"].replace("/url?q=","").replace("'","")))
with gr.Blocks() as app:
gr.HTML("""<html>
<head>
<style>
h1 {
text-align: center;
}
</style>
</head>
<body>
<h1>Get survey</h1>
</body>
</html>""")
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() |