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The *Streamlit for Generative AI* course will show you how to use Streamlit to build large language model (LLM) powered apps. Finally you can deploy the Streamlit app to the cloud and share with the community.

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Rishika70/Generative-AI-Course

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The Generative AI course will show you how to use Streamlit to build large language model (LLM) powered apps. Finally you can deploy the Streamlit app to the cloud and share with the community. The Generative AI course offers a comprehensive guide on utilizing Streamlit to develop large language model (LLM) powered applications.

Course Objectives:

Learn to leverage Streamlit for building interactive and user-friendly LLM-powered apps. Gain insights into utilizing various Python libraries for Generative AI, including OpenAI and Hugging Face. Understand the process of deploying Streamlit apps to the cloud and sharing them with the community.

Overview:

The course consists of lessons covering different aspects of Streamlit and Generative AI, along with hands-on projects aimed at practical application of the concepts learned.

Table of contents

Installation

  1. Clone this repository -
git clone https://github.com/Raykarr/Generative-AI-Course
  1. Go to the location of the project in your pc
cd "file location"
  1. Install the requirements of the project
pip install streamlit
pip install streamlit-extras
  1. Run the streamlit using
streamlit run Home.py

Resources

Python Libraries taught in this course

Streamlit OpenAI Hugging Face Replicate LangChain


Code Updated by Kaustubh Raykar [https://github.com/Raykarr) and Srinivas Kota [https://github.com/Srinivas-162003)

About

The *Streamlit for Generative AI* course will show you how to use Streamlit to build large language model (LLM) powered apps. Finally you can deploy the Streamlit app to the cloud and share with the community.

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