In this tutorial, we will use the #langchain, #openai, and #databutton to create an Autonomous Agent called as BabyAGI in #python. An #ai agent that can generate and pretend to execute tasks based on a given objective. The task performed by this Agent is further connected to email notification via databutton python package.
– Live Demo App-
– @LangChain docs :
– Original Repo of Baby AGI –
– BabyAGI paper –
– BabyAGI Twitter Breakdown –
– @databutton –
– Databutton docs –
– Databutton Send Notifications –
πΉ Related Videos to watch :
1. How to Build a CHAT BOT with ChatGPT API (GPT-3.5-TURBO) having CONVERSATIONAL MEMORY in Python –
2. Build a PERSONAL CHATBOT with LangChainAI MEMORY with ChatGPT-3.5-Turbo API in PYTHON –
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π€ Related Playlist :
1. Streamlit – OpenAI –
2. Streamlit Tutorials –
π Blog Post to refer :
1. How to build a Chatbot with ChatGPT API and a Conversational Memory in Python –
2. Getting started with LangChain β A powerful tool for working with Large Language Models –
3. Summarizing Scientific Articles with OpenAI β¨ and Streamlit –
4. Build Your Own Chatbot with openAI GPT-3 and Streamlit –
5. Build a Personal Search Engine Web App using Open AI Text Embeddings –
π» GitHub code for all my YouTube tutorials (Support with π if you like it!)-
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Timestamps:
0:00 Introduction to BabyAGI
3:43 Build app using Databutton
4:52 Packages and API secrets
5:33 Modules importing
6:41 Task Creation Chain + Task Prioritisation Chain
8:16 Task Execution Chain + BabyAGI Controller Model
11:52 Vector store for Embeddings + Initial UI
13:16 Using BabyAGI with an Objective – Main UI Code block
22:12 Automating with Email
23:16 Final Demo with Email Automation
25:24 Deploying the App
26:50 Wrap up
#langchain #openai #streamlit #babyagi #ai #nlp #openaigpt3 #pythonprogramming #python #pythonforbeginners #webdevelopment #datascience #openaimodels #machinelearning #webapp #openaimodels #avra #avrastreamlit #chatbotgpt #chatbotdevelopment #conversationalchain
#databutton