Скачать или смотреть 06 Your First AI Chatbot with Chat History | Part 1: Simple List method

#AIChatbot #ChatHistory #GenerativeAI #Streamlit #Langraph #LLM #BotBuilding #Python #AIProgramming #MachineLearning #DeepLearning #NLP #ArtificialIntelligence #TechTutorial #Programming #Developer #Coding #googlecolab #apikey #groq #llama3
Generative AI Tutorial Full Videos Playlist
   • 01 Getting Started with GenAI Apps: LangCh...  

Join this channel to get access to perks:
   / @networkevolution  

Code Repo
https://github.com/network-evolution/...

Getting started with Generative AI apps tutorial
How to build a chatbot with chat history
Enable chat history using simple python list
Check token usage in llm api call
Trimming methods in langchain chat history
Explanation of SystemMessage, HumanMessage and AIMessage
How to enable chat history context
Model invoke with history
How to combine user input and history in llm interactions
Simulate ai response using AIMessage
Multi-turn conversation example in generative ai
How to add followup questions to llm models
Add user prompt for llm interactions


GenAI app basic class
This video demonstrates how to build a genAI app using Langchain, open api key, and streamlit in google colab for free
step-by-step guide on genai apps
How to generate open api key
Add pay as u go credit balance in open
Buy api credits form testing
Convert langchain_groq code to open code
Pip install langchain_openai
Manage chat history using langchain
Chat history storage
Remember ai chatbot history demo


Code
!pip install -q langchain langchain_groq
from google.colab import userdata
from langchain_groq import ChatGroq
from langchain_core.messages import HumanMessage, SystemMessage,AIMessage
import os
os.environ['GROQ_API_KEY'] = userdata.get('groq')
model = ChatGroq(model="llama-3.3-70b-versatile", temperature=0)
response = model.invoke("Give me the list of llm models")
print(response.content)
response = model.invoke([
AIMessage(content="Hello,I am from a planet called Naboo"),
HumanMessage(content="What is your planet?")
])
print(response.content)

response = model.invoke([
SystemMessage(content="Imagine you are from a planet called Naboo and answer the question"),
HumanMessage(content="What is your planet?")
])
print(response.content)

history = []
try:
while True:
print(f"\n \n{'_'*100}")
user_input = input("Enter your question(or type 'exit'):")

input_messages = HumanMessage(content=user_input)
history.append(input_messages)
response = model.invoke(history)
history.append(response)

print(response.content)

if user_input.lower() == 'exit':
print("Exiting...")
break
except KeyboardInterrupt:
print("Exiting...")




chat history llm
llmchain chat history
how to pass chat history to llm
train llm on chat history
llm chat history management
llm chat history memory
langchain llm chat history
llm rag chat history
the chat history
online chat history
Stream helps to create simple and interactive interface
Good for prototypes
Exposing web server from google collab
How to install streamline app
Basics of streamline
Add button in streamlit
Store streamline log in to file
Use local tunnel to expose port
Pip install -q streamlit
npm install localtunnel
How to access google drive from google colab
Store python files in google drive for google collar to access it
From google.colab import drive
drive.mount(‘/content/drive’)
Build a basic app using streamlit
Beginner tutorial for streamlit
Expose collar we in to internet
Streamlit run python.py
Npx localtunnel —port 8501
Add numbers input filed in to streamlit
Genai beginner level training
Langchain introduction
Langchain ChatPromptTemplate
How to create a template prompt using langchain
Genai prompt creation example
Pass the template in to chat promp
input_variables in langchain
stroutputParser() in langchain
What in chain in lanchain

How to dynamically pass the variables
Create dynamic and reusable chat template tutorial
Langchai
groq api tutorial
Pass variable dynamically
Google collaborated access example for generative ai and lang chain coding
Genai beginner environment setup
Advantage of using google cola for genai development
How to install python package in to google colab
Langchain example
How to write code using langchain
os.environ[‘’GROQ_API_KEY]
How to use groq chat model
From langhcain_groq import ChatGroq
What is chat model
Create a groq chat model
Set the manual model name for LLM
LLM model and temperature explained