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Urdu Book and Article Assistant Chatbot
This video demonstrates how to use the Urdu Book and Article Assistant Chatbot template.
import logging
import json
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app
from abilities import llm
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()
class StandaloneApplication(BaseApplication):
def __init__(self, app, options=None):
self.application = app
self.options = options or {}
super().__init__()
def load_config(self):
# Apply configuration to Gunicorn
for key, value in self.options.items():
if key in self.cfg.settings and value is not None:
self.cfg.set(key.lower(), value)Frequently Asked Questions
What is the main purpose of the Urdu Book and Article Assistant Chatbot?
The Urdu Book and Article Assistant Chatbot is designed to provide a user-friendly interface for Urdu-speaking users to interact with an AI assistant specialized in books and articles. It aims to help users with queries related to Urdu literature, research, and general information about books and articles in the Urdu language.
How can businesses benefit from implementing this chatbot?
Businesses can benefit from the Urdu Book and Article Assistant Chatbot in several ways: - Libraries and bookstores can use it to assist customers in finding specific books or articles. - Educational institutions can implement it to help students with research and literature queries. - Publishing houses can use it to provide information about their publications and authors. - Content creators can utilize it to get inspiration or fact-check Urdu-language content.
What customization options are available for the chatbot's appearance?
The Urdu Book and Article Assistant Chatbot template offers several customization options:
- The color scheme can be easily modified by changing the CSS variables in the styles.css file.
- The logo and app title can be updated in the _header.html partial and app_config.json file.
- The chat interface layout can be adjusted by modifying the HTML structure in home.html and corresponding CSS in styles.css.
How can I add new routes to the Urdu Book and Article Assistant Chatbot?
To add new routes to the chatbot, you can modify the routes.py file. Here's an example of how to add a new route:
```python def register_routes(app): @app.route("/") def home_route(): # Existing home route code...
@app.route("/about")
def about_route():
return render_template("about.html", app_title=app_config['app_title'])
# Add more routes as needed
```
Remember to create corresponding HTML templates (e.g., about.html) in the templates folder for new routes.
How can I integrate a real AI model with the Urdu Book and Article Assistant Chatbot?
To integrate a real AI model with the chatbot, you'll need to modify the home.js file to send requests to your AI backend. Here's an example of how you might update the handleUserInput function:
```javascript async function handleUserInput() { const message = userInput.value.trim(); if (message) { addMessage(message, true); userInput.value = '';
try {
const response = await fetch('/api/chat', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ message: message }),
});
const data = await response.json();
addMessage(data.response);
} catch (error) {
console.error('Error:', error);
addMessage('Sorry, there was an error processing your request.');
}
}
} ```
You'll also need to create a corresponding API route in routes.py to handle the chat requests and interact with your AI model.
Created: | Last Updated:
Here's a step-by-step guide on how to use the Urdu Book and Article Assistant Chatbot template:
Introduction
This template provides an Urdu language chatbot for books and articles with a simple web interface for user interaction. The chatbot is designed to assist users with queries related to Urdu literature and articles.
Getting Started
To begin using this template:
- Click the "Start with this Template" button in the Lazy Builder interface.
Test the Application
After starting with the template:
- Press the "Test" button in the Lazy Builder interface.
- This will initiate the deployment of your app and launch the Lazy CLI.
Using the Chatbot
Once the app is deployed:
- Lazy will provide you with a dedicated server link to access the chatbot interface.
- Open the provided link in your web browser.
Interacting with the Chatbot
The chatbot interface is designed to be user-friendly and intuitive:
- You'll see a chat window with an input field at the bottom.
- Type your question or query in Urdu or English in the input field.
- Press the "بھیجیں" (Send) button or hit Enter to submit your question.
- The chatbot will process your query and provide a response in the chat window.
Features of the Interface
The chatbot interface includes:
- A header with the app title "اردو کتاب اور مضمون معاون" (Urdu Book and Article Assistant).
- A responsive design that works on both desktop and mobile devices.
- A chat window that displays the conversation history.
- An input field for typing your questions.
Customization Options
While the template provides a fully functional chatbot, you can customize various aspects:
- Modify the
app_config.jsonfile to change the app title. - Adjust the color scheme and styling in the
styles.cssfile. - Enhance the chatbot's capabilities by modifying the
home.jsfile to integrate with more advanced natural language processing services.
Remember, all customizations can be done directly in the Lazy Builder interface without needing to set up a local development environment.
By following these steps, you'll have a functional Urdu Book and Article Assistant Chatbot up and running, ready to assist users with their literary queries.
Here are 5 key business benefits for this Urdu Book and Article Assistant Chatbot template:
Template Benefits
-
Culturally-Tailored User Experience: The template provides a fully Urdu-language interface, including right-to-left text support and Urdu fonts, creating a culturally appropriate and user-friendly experience for Urdu-speaking audiences.
-
Scalable Architecture: Built with Flask and SQLAlchemy, the template offers a robust and scalable foundation that can easily accommodate growing user bases and expanding features as the business grows.
-
Mobile-Responsive Design: The inclusion of both mobile and desktop navigation ensures the chatbot is accessible across all devices, maximizing potential user engagement and reach.
-
Easy Customization: With modular components and clear separation of concerns, businesses can quickly customize the chatbot's appearance, functionality, and knowledge base to suit specific needs in the Urdu literature and education markets.
-
Automated Assistance: The chatbot provides a cost-effective way to offer 24/7 automated assistance for Urdu literature queries, potentially reducing customer service costs while improving user satisfaction and engagement with Urdu books and articles.
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