LLM Playground

Introduction

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This is a collection of baisc AI apps built with Streamlit. It provides some examples of what LLMs can do!

🔎 Research Assistant 🪄

What it does: Ask a research question, get a thread of actionable article summaries source from filtered Google searches.

🎙️ Keynote Talk Generator

What it does: Ask a question, get a tight keynote presentation outline with topics summaries from Wikipedia.

💬 Chat with Reports

What it does: Upload PDF reports and chat with them to better understand their context.

🖼️ Utopian Narratives 🗣️

What it does: Upload a picture, get a short utopian audio story inspired by the scene.

Dependencies

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Install:

1. Clone the repository to your local machine.

2. Create VM and install dependencies from .yml

Using micromamba:

cd llm-playground
micromamba env create -f environment.yml
micromamba activate ai-labs

3. Create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:

OPENAI_API_KEY= "your_api_key_here"
HUGGINGFACEHUB_API_TOKEN= "your_api_key_here"
SERPAPI_API_KEY = "your_api_key_here"

Usage

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Steps:

1. Ensure that you have installed the required dependencies and added the API keys to the .env file.

2. Run the Welcome.py file using the Streamlit CLI. Execute the following command:

   streamlit run Welcome.py
   

3. The application will launch in your default web browser, displaying the user interface.

4. Have fun!