test chatbot

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import logging
import os

from flask import Flask, render_template, session, request, jsonify
from flask_session import Session
from gunicorn.app.base import BaseApplication
from abilities import apply_sqlite_migrations, llm, upload_file_to_storage, url_for_uploaded_file

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)

@app.route("/")
def root_route():
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Created: | Last Updated:



Chat Interface Template Guide

This template provides a modern, responsive chat interface with real-time messaging capabilities and image upload functionality. The interface features a clean design with a glass-effect theme and smooth animations.

Getting Started

  • Click "Start with this Template" to begin using the chat interface template

Testing the Application

  • Click the "Test" button to deploy the application
  • Once deployed, Lazy will provide you with a dedicated server link to access the chat interface

Using the Chat Interface

The chat interface includes several key features:

  • Real-time messaging with animated message bubbles
  • Image upload capability through the paperclip icon
  • Typing indicators when messages are being processed
  • Responsive design that works on both desktop and mobile devices

To use the interface:

  • Type your message in the input field at the bottom
  • Press Enter (on desktop) or tap the send button to send your message
  • To send an image, click the paperclip icon and select an image file
  • You can remove an attached image before sending by clicking the "Remove" button in the preview

The interface will display your messages on the right side in white bubbles, while responses will appear on the left side in translucent bubbles.

This template provides a standalone chat interface that can be used immediately after deployment without any additional setup or integration steps required.



Template Benefits

  1. Enhanced Customer Support Integration
  2. Provides a professional, modern chat interface for customer service operations
  3. Supports both text and image-based communications, enabling more comprehensive customer support
  4. Real-time typing indicators improve user engagement and experience

  5. Secure Business Communications

  6. Built-in session management for secure conversations
  7. Server-side message history tracking for compliance and record-keeping
  8. Robust user authentication framework with privacy considerations

  9. Scalable Enterprise Solution

  10. Gunicorn implementation supports high-volume traffic with multiple workers
  11. SQLite database integration allows for easy data management and scaling
  12. Modular design enables easy integration with existing business systems

  13. Cross-Platform Accessibility

  14. Responsive design works seamlessly across desktop and mobile devices
  15. Modern UI with glass-effect styling creates a professional appearance
  16. Optimized performance with efficient message handling and animations

  17. Rich Media Support for Business Communications

  18. Built-in image attachment functionality for sharing visual content
  19. Preview capability for attached media before sending
  20. Flexible message formatting supports various business communication needs

Technologies

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Flask Templates from Lazy AI – Boost Web App Development with Bootstrap, HTML, and Free Python Flask Flask Templates from Lazy AI – Boost Web App Development with Bootstrap, HTML, and Free Python Flask
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Open Source LLM based Web Chat Interface

This app will be a web interface that allows the user to send prompts to open source LLMs. It requires to enter the openrouter API key for it to work. This api key is free to get on openrouter.ai and there are a bunch of free opensource models on openrouter.ai so you can make a free chatbot. The user will be able to choose from a list of models and have a conversation with the chosen model. The conversation history will be displayed in chronological order, with the oldest message on top and the newest message below. The app will indicate who said each message in the conversation. The app will show a loader and block the send button while waiting for the model's response. The chat bar will be displayed as a sticky bar at the bottom of the page, with 10 pixels of padding below it. The input field will be 3 times wider than the default size, but it will not exceed the width of the page. The send button will be on the right side of the input field and will always fit on the page. The user will be able to press enter to send the message in addition to pressing the send button. The send button will have padding on the right side to match the left side. The message will be cleared from the input bar after pressing send. The last message will now be displayed above the sticky input block, and the conversation div will have a height of 80% to leave space for the model selection and input fields. There will be some space between the messages, and the user messages will be colored in green while the model messages will be colored in grey. The input will be blocked when waiting for the model's response, and a spinner will be displayed on the send button during this time.

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