main.py

import os
import base64
import streamlit as st
import requests
import json
import pandas as pd
from helper import (
    playwright_install,
    add_download_options
)

st.set_page_config(page_title="Scrapegraph-ai demo", page_icon="🕷️")

# Install playwright browsers
playwright_install()

def save_email(email):
    with open("mails.txt", "a") as file:
        file.write(email + "\n")

with st.sidebar:
    st.write("Official demo for [Scrapegraph-ai](https://github.com/VinciGit00/Scrapegraph-ai) library")
    st.markdown("""---""")
    st.write("# Usage Examples")
    st.write("## Prompt 1")
    st.write("- Give me all the news with their abstracts")
    st.write("## Prompt 2")
    st.write("- Create a voice summary of the webpage")
    st.write("## Prompt 3")
    st.write("- List me all the images with their visual description")
    st.write("## Prompt 4")
    st.write("- Read me the summary of the news")
    st.markdown("""---""")
    st.write("You want to suggest tips or improvements? Contact me through email to mvincig11@gmail.com")
    st.markdown("""---""")
    st.write("Follow our [Github page](https://github.com/ScrapeGraphAI)")


st.title("Scrapegraph-ai")
left_co, cent_co, last_co = st.columns(3)
with cent_co:
    st.image("assets/scrapegraphai_logo.png")
st.title('Scrapegraph-api')
st.write("refill at this page")

# Get the API key, URL, prompt, and optional schema from the user
api_key = st.text_input('Enter your API key:')
url = st.text_input('Enter the URL to scrape:')
prompt = st.text_input('Enter your prompt:')
schema = st.text_input('Enter your optional schema (leave blank if not needed):')

# When the user clicks the 'Scrape' button
if st.button('Scrape'):
    # Set up the headers and payload for the API request
    headers = {'Content-Type': 'application/json'}
    payload = {
        'api_key': api_key,
        'url': url,
        'prompt': prompt,
        'schema': schema
    }

    # Make the API request
    response = requests.post('https://api.scrapegraphai.com/smart_scraper', headers=headers, data=json.dumps(payload))

    # If the request was successful
    if response.status_code == 200:
        # Parse the JSON response
        data = response.json()

        # Display the extracted data
        st.write(data['result'])

        # Display the remaining credits
        st.write(f"Remaining credits: {data['credits_left']}")

    # If the request was unsuccessful
    else:
        st.write(f"Error: {response.status_code}")


left_co2, *_, cent_co2, last_co2, last_c3 = st.columns([1] * 18)

with cent_co2:
    discord_link = "https://discord.com/invite/gkxQDAjfeX"
    discord_logo = base64.b64encode(open("assets/discord.png", "rb").read()).decode()
    st.markdown(
        f"""<a href="{discord_link}" target="_blank">
        <img src="data:image/png;base64,{discord_logo}" width="25">
        </a>""",
        unsafe_allow_html=True,
    )

with last_co2:
    github_link = "https://github.com/VinciGit00/Scrapegraph-ai"
    github_logo = base64.b64encode(open("assets/github.png", "rb").read()).decode()
    st.markdown(
        f"""<a href="{github_link}" target="_blank">
        <img src="data:image/png;base64,{github_logo}" width="25">
        </a>""",
        unsafe_allow_html=True,
    )

with last_c3:
    twitter_link = "https://twitter.com/scrapegraphai"
    twitter_logo = base64.b64encode(open("assets/twitter.png", "rb").read()).decode()
    st.markdown(
        f"""<a href="{twitter_link}" target="_blank">
        <img src="data:image/png;base64,{twitter_logo}" width="25">
        </a>""",
        unsafe_allow_html=True,
    )