app.py

import gradio as gr
import requests
from bs4 import BeautifulSoup
import os
# ===================================================
import psutil

def get_cpu_spec():
    cpu_info = {}
    # cpu_info['Brand'] = psutil.cpu_brand()
    cpu_info['Architecture'] = psutil.cpu_freq().current / 1000  # Convert to GHz
    cpu_info['Physical cores'] = psutil.cpu_count(logical=False)
    cpu_info['Total cores'] = psutil.cpu_count(logical=True)
    return cpu_info

def get_ram_info():
    ram = psutil.virtual_memory()
    ram_info = {
        'Total': round(ram.total / (1024 ** 3), 2),  # Convert to GB
        'Available': round(ram.available / (1024 ** 3), 2),
        'Used': round(ram.used / (1024 ** 3), 2),
        'Percentage': ram.percent
    }
    return ram_info

def print_system_info():
    cpu_spec = get_cpu_spec()
    ram_info = get_ram_info()

    print("CPU Specifications:")
    for key, value in cpu_spec.items():
        print(f"{key}: {value}")

    print("\nRAM Information:")
    for key, value in ram_info.items():
        print(f"{key}: {value} GB")

print_system_info()
print("secret test",os.environ["URL"])
# ===================================================

def fetch_text(url):
    response = requests.get(url)
    print("response",response)
    if response.status_code == 200:
        content = response.text
        print("content",content)
        soup = BeautifulSoup(content, 'html.parser')
        print("soup",soup)

        find_all_text = soup.find_all('p')
        print("find_all_text",find_all_text)
        text_arr = []
        for p in find_all_text:
            p_get_text = p.get_text()
            print("p_get_text",p_get_text)

            text_arr.append(p_get_text)
        print("text_arr",text_arr)

        clean_text = ' '.join([p.get_text() for p in soup.find_all('p')])
        print("clean_text",clean_text)

        return clean_text
    else :
        return ""
#===============================================================




with gr.Blocks() as app:
    gr.Markdown("# QA Model testing")

    with gr.Row():
        with gr.Column():
            gr.Markdown("## Crawl Source")
            with gr.Row():
                link = gr.Textbox(label="link")
                crawl_btn = gr.Button("crawl source", interactive=True)

    with gr.Row():
        with gr.Column():
            gr.Markdown("## Input Text")
            with gr.Row():
                title = gr.Textbox(label="title")
                summary = gr.Textbox(label="summary")
                maintext = gr.Textbox(label="maintext")

    crawl_btn.click(fn=fetch_text, inputs=link, outputs=maintext)



app.launch()