Controlling System Context in Swarmauri | A Guide to Building Countless Chatbot Applications

Summary

This video tutorial guides viewers on creating a quick app using the SumarCrack model in Python. It covers installation of the SumarF package, loading environment variables, initializing the C model with an API key, and setting up a Max system context conversation. The script demonstrates dynamic model selection based on user input, interacting with the agent, and executing commands. It showcases the model's versatility in providing assistance for university students, generating funny responses, and creating specialized content like a Python boot camp curriculum and a medical report.

Takeaways

• 🛠️ The video demonstrates how to set up a system using the Sumar Crack model in a Gradio app.
• 📦 The Sumar F package version 0.4.1 and Python are required for the project.
• 💾 Environment variables are loaded from an .env file for API key and other configurations.
• 🔑 An API key is fetched from the environment variables, which can be obtained from console.cr.com.
• 🤖 The C model is initialized with the API key to access allowed models.
• 📈 The available models are retrieved from the LLM (Large Language Model) instance.
• 🗣️ A Max system context conversation instance is initialized for interaction.
• ⚙️ Functions are defined to dynamically change the model based on user input from a dropdown menu.
• 💬 The agent is initialized with the selected model, and input text is processed to return results.
• 🌐 A Gradio interface is set up for model selection, and the application is launched as a local server.
• 🎓 The application is intended to serve as a visual assistant for university students, demonstrating versatility in answering questions and providing information on various topics.

Q & A

What is the first step in creating a system using the Sumar Crack model?

The first step is to install the Sumar F package version 0.4.1 and Python.

Which package does the script mention for creating an application?

The script mentions using the 'gradio' package for creating the application interface.

How does the script suggest loading environment variables?

The script suggests loading environment variables from an .env file.

What is the purpose of fetching the API key from the environment variables?

The API key is fetched from the environment variables to initialize the C model with the API key to access allowed models.

What is the role of the 'Max system context conversation' instance in the script?

The 'Max system context conversation' instance is initialized to handle the conversation context within the application.

How does the script propose to change the model dynamically based on user input?

The script proposes defining a function that changes the model based on dropdown input, allowing the user to select the desired model.

What is the script's approach to ensuring the input text is a string before executing commands?

The script ensures that the input text is a string by explicitly checking and converting it before executing the input command with the agent.

What is the purpose of setting up a C interface with a dropdown for model selection?

The purpose is to allow users to easily select and switch between different models within the application.

How does the script handle the transition between different bot personalities, such as a funny bot or a specialist?

The script handles the transition by initializing the agent with a new model dynamically based on the user's selection, which changes the bot's behavior and responses.

What is the script's approach to creating a curriculum for a Python boot camp?

The script suggests using the application to create a curriculum by inputting a command to generate a curriculum outline for a Python boot camp.

How does the script demonstrate the application's capability to generate a medical report?

The script demonstrates this by changing the context to 'medical trage' and then asking the application to write a report, which generates a medical TR report based on the context.

Outlines

00:00

💻 Setting Up a Sumar-based System Context

The paragraph outlines the process of creating a system using the Sumar crack model in a university context. It starts with the installation of the Sumar F package version 0.4.1 and Python. The speaker then details the steps to load necessary modules, import system messages, and set up conversation agents. The process involves loading environment variables from an .env file and fetching an API key from console.cr.com. The C model is initialized with the API key to access allowed models, and the available models are retrieved from the language model instance. A Max system context conversation instance is initialized, and functions are defined to change the model based on user input and to interact with the agent. The input text is checked to ensure it's a string, and the agent executes the input command, returning results as a string. The paragraph concludes with setting up a user interface for model selection and launching the application, which creates a local server.

Keywords

💡Sumar

Sumar appears to be a software package or framework used in the context of the video for creating applications. It is mentioned in the initial steps of setting up the system, indicating its foundational role in the development process described. The script refers to installing 'Sumar F package version 0.4.1', which suggests that Sumar is a versioned software component essential for the project.

💡Python

Python is a widely-used high-level programming language known for its readability and versatility. In the video, Python is mentioned as the programming language in which the Sumar package is installed and utilized. This implies that Python serves as the coding environment for developing the application described in the script.

💡Environment Variables

Environment variables are a set of dynamic values in computing that can affect the way running processes will behave on a computer. In the script, environment variables are used to load API keys, which are crucial for accessing certain functionalities or services. This is an example of using environment variables to manage configuration settings securely and efficiently.

💡API Key

An API key is a code passed in by computer programs calling an API to identify the calling program, its developer, or its user. In the video, the API key is fetched from the environment variables and used to initialize the C model, which suggests that the key is necessary for authenticating and authorizing the application to access specific models or services.

💡Model

In the context of the video, 'model' likely refers to machine learning or AI models that the application can utilize. The script mentions getting available models from an 'llm instance' and initializing a model based on user selection, indicating that models are interchangeable components that dictate the application's functionality, such as being a 'funny bot' or a 'medical trage assistant'.

💡Gradio

Gradio is an open-source library for building user interfaces around machine learning models. It is mentioned in the script as part of the process of setting up the application's interface, suggesting that Gradio is used to create a frontend for interacting with the backend models and functionalities of the application.

💡Conversation Agent

A conversation agent, or chatbot, is a software application used to conduct an interactive conversation via text or voice. In the video, the script describes initializing a 'Max system context conversation' instance, which implies the creation of an agent capable of handling conversational interactions with users, adapting its responses based on the context and model in use.

💡Specialist

The term 'specialist' in the video refers to the specialized functionality or expertise that the application can adopt based on the model selected. For example, the script mentions specializing in 'cfy planning, and agriculture' or creating a 'medical trage assistant', indicating that the application can be tailored to provide expert advice or services in specific domains.

💡Culum

In the script, 'Culum' is a misspelling of 'Curriculum', which is a plan or course of study in a school or college. The video describes creating a 'python boot camp curriculum', which means the application is being used to generate a structured learning plan or course outline for teaching Python programming.

💡Medical Trage

The term 'Medical Trage' seems to be a typo or a specific term within the context of the video, possibly referring to 'Medical Trauma' or a similar concept. The script describes testing the application in a medical context, suggesting the application's ability to generate medical reports or assist in trauma-related medical scenarios.

Highlights

Installing the Summar F package version 0.4.1 and Python environment setup.

Loading AMV and importing necessary libraries like OS, Gradio, and others.

Importing the C model and system message for interaction.

Loading environment variables from the EMV file.

Fetching the API key from environment variables for model access.

Initializing the C model with the API key to access allowed models.

Getting available models from the LLM instance.

Initializing a Max system context conversation instance.

Defining a function to dynamically change the model based on user input.

Defining another function to interact with the agent.

Initializing the agent with the new model based on user selection.

Ensuring input text is a string before executing commands with the agent.

Executing input commands and returning results as a string.

Setting up the C interface with a drop-down for model selection.

Launching the application and creating a local server.

Creating a visual assistant for university students.

Asking the model a question about compound matter and receiving a coded answer.

Changing the model to a funny bot and receiving humorous responses.

Specializing the model to provide ideas on sustainable development in agriculture.

Creating a curriculum for a Python boot camp using the model.

Testing the model as a medical trauma assistant and writing a medical report.

Invitation to try out the application and follow on GitHub.

Transcripts

quick app in sumar creating a system

context in grad using sumar crack model

now the first thing we need to do is to

install the sumar F package version

0.4.1 and python. EMV then we need to

load the AMV and import OS

gradio import the C

model import system

message import simple conversation

agents import the max system context

conversation then we need to load the

environment variables from the EMV file

then we need to fetch the API key from

the environment variables remember you

can get your API keys from console.

cr.com

Keys now you need to initialize the C

model with the API key to access allowed

models then we need to get the available

models from the llm

instance then we need to initialize a

Max system context conversation

instance then we need to define a

function to dramatically change the

model based on drop down

input with this function then we need to

Define another function to interact with

the

agent then in the same function we need

to initialize the the model dynamically

based on user

selection then we to initialize the

agent with the new model then we need to

ensure that the input text is a

string then we need to execute the input

command with the

agent then we need to return the results

as a

string now the next thing we need to do

is to set up the C interface with the

drop down for model

selection

and we need to launch the

application just running this

now creates a local

server so I want to test this out so I

want to create a visual assistant for

student of a university so this model

would mainly work for visual assistance

so I asked the question what is what

compound matter and it gave me a code

answer so this model now is trained

based on F assistance now I'm asking it

again I'm giving it another command be a

funny

bot so most of the messages that is

going to bring out is mostly a joke like

so I'm going to say tell me a

[Music]

joke and yeah so this is a funny joke

say why could School

stand so I want to check okay I want to

give it another specialist again I want

to say should

specialize a specialist in cfy planning

and agriculture so I say share some

ideas so as you can see on the screen

say for sustainable development not

disability to Agriculture and

plants now I'm testing again to be

create a culum for a boot camp for a

python boot camp

so for a python boot camp course so I'm

going to say create

AUM now mind you didn't add python so it

will definitely bring out a

python

[Music]

ccum yeah so definitely so this is just

a boam curriculum first div 12s 12 weeks

and now I want to create a medical trage

so I'll be testing this with another

model so a medical trage

assistant so that's the

context now let me test it out write a

medical

report or write a

report so this came out as a medical TR

report because the context is on

trage so you can try this out and thank

you so much for watching don't forget to

follow us on GitHub