Discord
Learn How To Use Lazy AI
Account
Edit Profile
My Plan
Token Usage
Hosting Overview
Logoutby davi
AI Web Chatbot
This video demonstrates how to use the AI Web Chatbot template.
import logging
from flask import Flask, render_template, session
from flask_session import Session
from gunicorn.app.base import BaseApplication
from abilities import apply_sqlite_migrations
from app_init import create_initialized_flask_app
from models import db
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()
# Configuring server-side session
app.config["SESSION_PERMANENT"] = False
app.config["SESSION_TYPE"] = "filesystem"
Session(app)
from abilities import llm
from flask import request, jsonifyFrequently Asked Questions
Minimizing error rates in information dissemination Q3: What sets this template apart from other chatbot solutions in terms of business value?
The template offers several unique advantages: - Modern, professional UI with Tailwind CSS - Built-in image processing capabilities - Real-time typing indicators for better user experience - Session management for conversation history - Scalable architecture suitable for enterprise deployment - Easy integration with existing systems through Flask backend
Q4: How can I modify the chat interface to add custom branding?
A: You can customize the template's branding by modifying the HTML and CSS. Here's an example:
```html
YOUR·BRAND·CHAT
```
Q5: How can I extend the template to support multiple language models?
A: You can modify the send_message route in main.py to support different models. Here's an example:
```python @app.route("/send_message", methods=['POST']) def send_message(): user_message = request.form.get('message', '') model_type = request.form.get('model', 'gpt-4') # Default model
# Model configuration
model_configs = {
'gpt-4': {'temperature': 0.7, 'max_tokens': 150},
'gpt-3.5-turbo': {'temperature': 0.9, 'max_tokens': 100},
'custom-model': {'temperature': 0.5, 'max_tokens': 200}
}
response = llm(
prompt=conversation_history,
response_schema={
"type": "object",
"properties": {
"response": {"type": "string"}
}
},
model=model_type,
model_configs[model_type]
)
return jsonify({"message": response['response']})
```
Created: | Last Updated:
Web Based Chatbot with LLM Template Guide
This template provides a modern, responsive chat interface powered by LLM technology. The chat interface features a sleek design with message animations, image upload capabilities, and real-time typing indicators.
Getting Started
- Click "Start with this Template" to begin using this template in the Lazy Builder interface
Testing the Application
- Click the "Test" button in the Lazy Builder interface
- Once deployed, you'll receive a dedicated server link to access your chat interface
Using the Chat Interface
The chat interface includes several features:
- A clean, modern design with a dark theme
- Real-time message animations and typing indicators
- Image upload capability through the paperclip icon
- Send messages using either the send button or Enter key
- Responsive design that works on both desktop and mobile devices
To use the chat interface:
- Type your message in the input field at the bottom
- Click the paper plane icon or press Enter to send
- To send an image:
- Click the paperclip icon
- Select an image from your device
- The image will appear in a preview
- Send your message with the image using the send button
The chatbot will respond to your messages using the configured LLM model, maintaining a conversation history of up to 10 messages for context.
The interface automatically adjusts to different screen sizes and includes features like:
- Message animations for smooth transitions
- Typing indicators while waiting for responses
- Image preview before sending
- Ability to remove selected images before sending
This template provides a complete chat interface that can be used immediately after deployment, with no additional integration steps required.
Template Benefits
- Enhanced Customer Service Automation
- Provides a professional-looking chat interface for customer support
- Reduces response times and operational costs through automated interactions
-
Maintains conversation history for context-aware responses
-
Seamless Multi-Modal Communication
- Supports both text and image-based interactions
- Enables users to share visual content for better problem description
-
Professional UI with modern glass-effect design enhances user experience
-
Enterprise-Ready Architecture
- Built with scalable Flask backend architecture
- Includes session management for personalized conversations
-
Features database integration for data persistence and analytics
-
Cross-Platform Accessibility
- Responsive design works across desktop and mobile devices
- Modern UI with tailwind CSS ensures consistent styling
-
Optimized performance with efficient message handling
-
Easy Integration & Customization
- Modular structure allows for easy integration with existing systems
- Customizable LLM responses for different business needs
- Extensible architecture for adding new features and capabilities
Technologies
Streamline JavaScript Workflows with Lazy AI: Automate Development, Debugging, API Integration and More
Maximize OpenAI Potential with Lazy AI: Automate Integrations, Enhance Customer Support and More
Optimize PDF Workflows with Lazy AI: Automate Document Creation, Editing, Extraction and More
Python App Templates for Scraping, Machine Learning, Data Science and More
Streamline Adobe XD Design with Lazy AI: Websites, Apps, Dashboards and More
Flask Templates from Lazy AI – Boost Web App Development with Bootstrap, HTML, and Free Python Flask
Optimize SQL Workflows with Lazy AI: Automate Queries, Reports, Database Management and More
