import logging
from flask import Flask, render_template, session, flash, request, jsonify, send_from_directory, redirect
from flask_session import Session
from import BaseApplication
from werkzeug.utils import secure_filename
import os
from abilities import llm_prompt
from pdf_manager import PDFManager

logger = logging.getLogger(__name__)

app = Flask(__name__)
# Configuring server-side session
app.config["SESSION_PERMANENT"] = False
app.config["SESSION_TYPE"] = "filesystem"

app.config['UPLOAD_FOLDER'] = 'uploads'
app.config['ALLOWED_EXTENSIONS'] = {'pdf'}

def allowed_file(filename):
    return '.' in filename and filename.rsplit('.', 1)[1].lower() in app.config['ALLOWED_EXTENSIONS']

About this template

The PDF Chatbot app connects to uploaded PDFs and answers questions about them using AI.

Introduction to the PDF Chatbot Template

The PDF Chatbot template is a powerful tool for creating an application that can answer questions about the content of uploaded PDF documents. This application uses a chatbot interface to interact with users and provide responses based on the text extracted from the PDFs. It's an excellent solution for customer support, research, or any scenario where quick access to information within PDF documents is needed.

Getting Started with the Template

To begin building your PDF Chatbot application, click on "Start with this Template" on the Lazy platform. This will pre-populate the code in the Lazy Builder interface, so you won't need to copy or paste any code manually.

Initial Setup

Before testing the application, ensure that you have all the necessary files and configurations in place. This template does not require setting up environment secrets, so you can proceed to the next step.

Test: Deploying the App

To deploy your PDF Chatbot app, press the "Test" button on the Lazy platform. This will initiate the deployment process and launch the Lazy CLI. The application will be executed on the Lazy platform, and you won't need to worry about installing libraries or setting up your environment.

Entering Input

If the application requires user input, the Lazy App's CLI interface will prompt you to provide it after pressing the "Test" button. Follow the prompts in the CLI to input the necessary information for your chatbot to function correctly.

Using the App

Once the app is deployed, Lazy will provide a dedicated server link to use the chatbot interface. If your application includes a frontend, you can interact with the chatbot by typing messages and receiving responses directly through the provided interface.

Integrating the App

If you need to integrate the PDF Chatbot app into an external service or frontend, you can use the server link provided by Lazy after deployment. For example, you might want to embed the chatbot in a website or connect it to an external database. Follow the specific integration steps required by the external tool to complete the setup.

Remember, this template is designed to simplify the process of creating a chatbot that can interact with PDF content. With Lazy handling the deployment and server management, you can focus on customizing the chatbot to meet your specific needs.

For further assistance or to explore more capabilities of the Lazy platform, refer to the official documentation or reach out to the Lazy support team.

Last published
June 15, 2024

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