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This template does nothing
This video demonstrates how to use the This template does nothing template.
import logging
import gradio as gr
from flask import Flask, render_template, session, request, jsonify
from flask_session import Session
from gunicorn.app.base import BaseApplication
from abilities import llm
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = Flask(__name__)
app.config["SESSION_PERMANENT"] = False
app.config["SESSION_TYPE"] = "filesystem"
Session(app)
def chatbot(message, history, model, temperature):
conversation_history = " ".join([f"user: {h[0]} bot: {h[1]}" for h in history])
conversation_history += f" user: {message}"
response = llm(
prompt=conversation_history,
response_schema={
"type": "object",
"properties": {Frequently Asked Questions
What is the primary purpose of this template?
The "This template does nothing" template is designed as a basic starting point for building a conversational AI application. Despite its name, it actually provides a foundation for creating a chatbot interface using Flask, Gradio, and various AI models. It's a versatile template that can be customized for different business applications requiring natural language interaction.
How can businesses benefit from using this template?
While the template is named "This template does nothing," it actually offers several benefits for businesses: - Quick setup of a chatbot interface - Integration with multiple AI models (e.g., GPT-4, Claude) - Customizable user interface through Gradio - Scalable architecture using Flask and Gunicorn Businesses can use this as a starting point to develop customer support chatbots, internal knowledge bases, or AI-powered assistants tailored to their specific needs.
What industries or use cases is this template best suited for?
The "This template does nothing" template is versatile and can be adapted for various industries and use cases, including: - Customer service automation in retail or e-commerce - Healthcare for patient inquiries and information dissemination - Education for creating interactive learning assistants - Finance for providing investment advice or answering account-related questions - Human resources for employee onboarding and FAQ systems
How can I modify the AI models used in this template?
The template allows for easy modification of AI models. You can add or remove models by editing the model dropdown options in the launch() function. For example, to add a new model called "custom-model", you would modify the following line:
python
model = gr.Dropdown(["gpt-4o", "gpt-4o-mini", "claude-3-5-sonnet", "claude-3-haiku", "deepseek/deepseek-coder", "custom-model"], label="AI Model", value="gpt-4o")
You'll also need to ensure that the llm() function in the abilities.py file supports the new model.
How can I customize the user interface of the chatbot?
The "This template does nothing" template uses Gradio for the user interface, which can be easily customized. You can modify the launch() function to add new elements or change existing ones. For example, to add a title to the interface, you can include the following code:
python
def launch():
with gr.Blocks() as demo:
gr.Markdown("# My Custom Chatbot")
chatbot = gr.Chatbot(label="Conversation")
# ... rest of the function
This will add a title at the top of the chatbot interface. You can further customize colors, layouts, and other visual elements using Gradio's components and styling options.
Created: | Last Updated:
Here's a step-by-step guide on how to use this template:
Introduction
This template provides a chatbot interface using Gradio and Flask. It allows users to interact with various AI models through a simple web interface. The chatbot supports multiple models and temperature settings for generating responses.
Getting Started
- Click "Start with this Template" to begin using this template in the Lazy Builder interface.
Test the Application
-
Press the "Test" button to deploy the application. This will launch the Lazy CLI and start the server.
-
Once the server is running, you will see a message in the CLI with a link to access the chatbot interface. The link will look something like this:
Your app is now running at: https://your-unique-app-id.lazy.com
Using the Chatbot Interface
-
Open the provided link in your web browser to access the chatbot interface.
-
You'll see the following elements on the interface:
- A chat window to display the conversation
- A text input box for entering your messages
- A dropdown menu to select the AI model
-
A temperature slider to adjust the randomness of responses
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To use the chatbot:
- Type your message in the text input box
- Select an AI model from the dropdown menu (default is "gpt-4o")
- Adjust the temperature slider if desired (default is 1)
-
Press Enter or click the submit button to send your message
-
The AI will generate a response based on your input, the selected model, and the temperature setting. The conversation will be displayed in the chat window.
-
Continue the conversation by sending more messages and receiving responses from the AI.
Customization Options
- You can change the AI model at any time by selecting a different option from the dropdown menu. Available models include:
- gpt-4o
- gpt-4o-mini
- claude-3-5-sonnet
- claude-3-haiku
-
deepseek/deepseek-coder
-
Adjust the temperature slider to control the randomness of the AI's responses. A higher temperature (closer to 2) will result in more diverse and creative responses, while a lower temperature (closer to 0) will produce more focused and deterministic responses.
That's it! You now have a functional chatbot interface running on the Lazy platform. You can interact with various AI models and experiment with different settings to get the desired conversational experience.
Template Benefits
While the provided template doesn't have a specific business application as described, I can suggest potential benefits if this were a functional AI chatbot template:
-
Enhanced Customer Support: An AI-powered chatbot could provide 24/7 customer support, answering common queries and reducing the workload on human support staff.
-
Scalable Conversation Handling: The template's structure allows for handling multiple conversations simultaneously, potentially improving customer engagement at scale.
-
Flexible AI Model Selection: The dropdown for selecting different AI models (e.g., GPT-4, Claude) offers flexibility in choosing the most appropriate model for specific business needs or cost considerations.
-
Customizable User Experience: The temperature slider allows for adjusting the AI's creativity level, potentially tailoring responses to match the desired tone or style for different business contexts.
-
Easy Integration: Built with Flask and Gradio, this template could serve as a starting point for businesses looking to integrate AI chatbot capabilities into their existing web applications or services.
