 from abilities import llm_prompt
import logging

import uvicorn
from fastapi import FastAPI
from fastapi.responses import HTMLResponse
from fastapi.templating import Jinja2Templates
from selenium_utils import SeleniumUtility

URL_TO_FETCH = "https://www.google.com"

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

app = FastAPI()
templates = Jinja2Templates(directory="templates")

from fastapi import Request, Form, Depends
# Route for the index page
# Route for the index page
@app.get("/", response_class=HTMLResponse)
async def read_root(request: Request):
    return templates.TemplateResponse("index.html", {"request": request})

About this template

Provide a url and the information you need to extract . It will provide you the extracted information from that url

Introduction to the AI Specific Website Scraper Template

Welcome to the AI Specific Website Scraper template! This template is designed to help you build an application that can extract specific types of information from any given URL. Whether you need text or any other type of content, this template will guide you through setting up a web scraper that leverages the power of AI to fetch and display the content you need.

The application is built using FastAPI and integrates with a Selenium utility for web scraping, as well as a templating engine to render the content. It's perfect for non-technical builders who want to create software applications without worrying about the complexities of deployment and environment setup.

Getting Started with the Template

To begin using this template, simply click on "Start with this Template" in the Lazy builder interface. This will pre-populate the code in the Lazy Builder, so you won't need to copy or paste any code manually.

Test: Deploying the App

Once you've started with the template, the next step is to deploy the app. Press the "Test" button in the Lazy builder interface. This will initiate the deployment process and launch the Lazy CLI. The Lazy platform handles all the deployment details, so you don't need to install libraries or set up your environment.

Entering Input

After pressing the "Test" button, if the app requires any user input, the Lazy App's CLI interface will prompt you to provide it. This input could be the URL you want to scrape and the type of information you're looking to extract. Follow the prompts in the CLI to enter the necessary information.

Using the App

Once the app is deployed, you will be provided with a dedicated server link to interact with the app. Navigate to this link in your web browser to access the app's interface. Here, you can submit a URL and specify the type of information you want to extract, such as 'text'. After submitting the form, the app will display the extracted content.

If the app uses FastAPI, which it does in this case, you will also be provided with a link to the FastAPI documentation. This can be useful if you want to understand more about how the API works or if you plan to integrate the API into another service or frontend.

Integrating the App

If you wish to integrate the app's functionality into another tool or service, you may need to use the server link provided by Lazy. For example, you could add the API endpoints provided by the app to an external tool that requires API integration. Ensure you follow the specific instructions of the external tool for adding API endpoints.

If the app requires any external setup or integration, such as obtaining API keys or configuring webhooks, make sure to follow the steps provided by the external service to acquire these values. Then, you can enter them as user input when prompted by the Lazy CLI.

By following these steps, you can quickly set up and use the AI Specific Website Scraper template to extract information from websites without any technical hurdles. Enjoy building with Lazy!

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