4. Initialize the Embedchain App • If the OpenAI API key is provided, initialize the embedchain app with 'app()'
• The `add` function of the app will accept any valid github query with qualifiers. It only supports loading github code, repository, issues and pull-requests.
@saboo_shubham_
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Embedchain App Initialization with OpenAI API Integration
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Building Streamlit App with OpenAI API Integration
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3. Set up the Streamlit App Streamlit lets you create user interface with just python code, for this app we will:
• Add a title to the app using 'st.title()'
• Create a text input to enter their OpenAI API key using 'st.text_input()' -
Configure Github Loader with Personal Access Token Setup
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2. Setup the Github loader by configuring the Github account with username and personal access token (PAT). Check out this link to learn how to create a PAT: https://
docs.github.com/en/enterprise-
server@3.6/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens#creating-a-personal-access-token
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Building RAG Web App with Streamlit and Embedchain
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1. Import necessary libraries • Streamlit for building the web app
• Embedchain for the RAG functionality -
Build LLM RAG App Chat GitHub 30 Lines Python
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Build a LLM app with RAG to chat with GitHub in just 30 lines of Python Code (step-by-step instructions):
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Embedchain Documentation Confirms Feature Support
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I think it supports that, to confirm you can check the Embedchain documentation.
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ML NLP LLMs RAG Tips Daily Newsletter
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If you’re interested in:
– ML/NLP
– LLMs
– RAG Connect with me → @Saboo_Shubham_ My Newsletter → http://
unwindai.substack.com Everyday, I share tip & tutorials on above topics on X and my newsletter. -
MacBook M1 Pro achieves 20-25 tokens per second performance
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Totally, depends on the usecase and the number of users you concurrently want to serve. I get 20-25 tokens/sec on my Macbook M1 pro 16 GB.
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LLM Apps with RAG: Explore Awesome Demos in GitHub Repository
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to get updates on the future tutorials
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OpenAI-Compatible API for Local Llama-3 Deployment
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Bonus 2: Create OpenAI like API for Llama-3 deployed locallyhttps://t.co/Edui3AXfI6
— Shubham Saboo (@Saboo_Shubham_) 3 mai 2024Bonus 2: Create OpenAI like API for Llama-3 deployed locally