6. Accept User Input • Accept user input using '
http://
st.chat_input()'
• Add the user message to the chat history and display it in a chat message container
SOFTWARE
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Streamlit Chat Input Handling and History Management
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Initialize and Display Chat History with Streamlit Session State
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5. Initialize and Display Chat History • Initialize the chat history using Streamlit's session state
• Display the chat history using '
http://
st.chat_message()' and 'st.markdown()' -
Building Streamlit UI for Local LM Studio Server
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4. 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()'
• Add a description for the app using 'st.caption()'
• Point to the local server set up using LM Studio -
Deploy Llama-3 Locally with OpenAI Compatible API
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3. Deploy Llama-3 locally and Create OpenAI like API
— Shubham Saboo (@Saboo_Shubham_) 10 juin 2024
• Download & Install the @LMStudioAI desktop app
• Download llama-3 instruct model
• Expose the model as OpenAI API by simply starting the server.
Here's the video walkthrough: pic.twitter.com/iUiDeV7Z9z3. Deploy Llama-3 locally and Create OpenAI like API • Download & Install the @LMStudioAI desktop app
• Download llama-3 instruct model
• Expose the model as OpenAI API by simply starting the server. Here's the video walkthrough: -
Building Web App with Llama-3 and Streamlit Integration
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2. Import necessary libraries • Streamlit for building the web app
• OpenAI for accessing the Llama-3 model from a local server using the @LMStudioAI -
MLX: Deep Learning Framework for Machine Learning on macOS
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7. MLX: A deeplearning framework for machine learning on macOS! You can efficiently train and deploy ML models. The repo also includes examples to run open-source models using MLX, like LLaMA, Mixtral 8x7B, LoRA, CLIP, Whisper and Stable Diffusion. https://
github.com/ml-explore/mlx -
7 Amazing Python Libraries for Data Science and Machine Learning
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7 amazing Python libraries for Data Science and Machine Learning not known to many:
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Following Best Practice in Code Development
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I also use “follow(ing) best practice” too (for code)
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Optimize Code for Readability and Conciseness
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“comprehensive” “direct” and/or “detailed” often combined with “concise” “optimize for human readability and minimal lines of code” is my go to code prompt (more than 3 words I know)
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Analysis of model list retrieval logic and release delays
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Looks very related, yes. In case they had to roll back the release it would easily explain the delay. + The issue was somewhere around a models list retrieval logic