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This video demonstrates how to use the AI Web scraper template.
import logging
from fastapi import FastAPI, Form, Request
from fastapi.responses import HTMLResponse, RedirectResponse
from fastapi.responses import HTMLResponse
from fastapi.templating import Jinja2Templates
# Removed WebFetcher import as it's no longer needed with the new Google CSE integration
import uvicorn
from typing import List
from abilities import llm_prompt
app = FastAPI()
templates = Jinja2Templates(directory="templates")
# Removed SolutionFinder class as it's no longer needed with the new Google CSE integration
import json
@app.get("/", response_class=HTMLResponse)
async def read_index(request: Request):
return templates.TemplateResponse("index.html", {"request": request})
@app.get("/solutions", response_class=HTMLResponse)
async def solutions(request: Request):
solutions = request.app.state.solutionsCreated: | Last Updated:
Introduction to the AI Web Scraper Template
Welcome to the AI Web Scraper template! This template is designed to help you build a web application that leverages Google's Custom Search Engine to generate a curated list of websites. These websites can provide solutions to specific problems or situations you may encounter. This step-by-step guide will walk you through the process of using this template on the Lazy platform, ensuring you can deploy your application with ease.
Getting Started
To begin using the AI Web Scraper template, simply click on "Start with this Template" within the Lazy Builder interface. This will pre-populate the code in the Lazy Builder, so you won't need to copy, paste, or delete any code manually.
Test: Deploying the App
Once you have started with the template, the next step is to deploy your application. Press the "Test" button to initiate the deployment process. The Lazy CLI will handle the deployment, and you won't need to worry about installing libraries or setting up your environment.
Entering Input
If the template requires user input, the Lazy App's CLI interface will prompt you for it after you press the "Test" button. Provide the necessary input as prompted to ensure the app functions correctly.
Using the App
After deployment, if the template includes a frontend, you will be able to interact with the user interface. The AI Web Scraper app provides an interface where you can search for solutions using Google's Custom Search Engine. You can access this interface through a dedicated server link that Lazy will print out for you.
If the code uses FastAPI, Lazy will also provide you with a documentation link, which you can use to understand and interact with the API endpoints.
Integrating the App
If you need to integrate the AI Web Scraper app into an external service or frontend, you may need to add the app's server link or API endpoints to the external tool. Follow the specific instructions provided by the external tool to complete this integration.
For example, if you need to add API endpoints to an external tool, ensure you have the correct scopes and know where to add the code. If the template includes sample code that is helpful for integration, make sure to use it as a reference.
Remember, this guide is here to help you through the mandatory steps to run and integrate the AI Web Scraper template. If you encounter any issues or have questions, refer to the documentation links provided in the code or reach out for support through the Lazy platform.
Happy building!
Technologies
Python App Templates for Scraping, Machine Learning, Data Science and More
