Skip to main content

LocalLab: Run language models locally or in Google Collab with a friendly API

Project description

🚀 LocalLab: Your Personal AI Lab

LocalLab lets you run AI language models on your computer or Google Colab - no cloud services needed! Think of it as having ChatGPT-like capabilities right on your machine.

🤔 What is LocalLab?

LocalLab consists of two parts working together:

graph LR
    A[LocalLab Server] -->|Runs| B[AI Models]
    C[Your Code] -->|Uses| D[LocalLab Client] -->|Talks to| A

The Server (Your AI Engine)

Think of the server as your personal AI engine. It:

  • Downloads and runs AI models on your computer
  • Manages memory and resources automatically
  • Optimizes performance based on your hardware
  • Provides a simple API for accessing models

You can run it:

  • On your computer (local mode)
  • On Google Colab (free GPU mode)

The Client (Your AI Controller)

The client is how your code talks to the AI. It:

  • Connects to your LocalLab server
  • Sends requests for text generation
  • Handles chat conversations
  • Processes multiple requests at once
  • Streams responses in real-time

✨ How It Works Together

When you use LocalLab:

  1. Server Setup

    from locallab import start_server
    start_server()  # Server starts and loads AI model
    
  2. Client Connection

    from locallab.client import LocalLabClient
    server_url = "http://localhost:8000" # or "https://your-ngrok-url.ngrok.app"
    client = LocalLabClient(server_url)
    
  3. AI Interaction

    # Your code sends requests through the client
    response = await client.generate("Write a story")
    print(response)  # Server processes and returns AI response
    

💡 Quick Examples

# Generate text
response = await client.generate("Hello!")

# Chat with AI
response = await client.chat([
    {"role": "user", "content": "Hi!"}
])

# Process multiple prompts
responses = await client.batch_generate([
    "Write a joke",
    "Tell a story"
])

➡️ See More Examples

💻 Requirements

Local Computer:

  • Python 3.8+
  • 4GB RAM minimum
  • GPU optional (but recommended)

Google Colab:

  • Just a Google account!
  • Free tier works fine

📚 Getting Started

1. Choose Your Path

New to AI/Programming?

  1. Start with our Getting Started Guide
  2. Try the Basic Examples
  3. Join our Community

Developer?

  1. Check API Reference
  2. See Client Libraries
  3. Read Advanced Features

2. Read the Docs

Our Documentation Guide will help you:

  • Understand LocalLab's features
  • Learn best practices
  • Find solutions to common issues
  • Master advanced features

🌟 Features

  • Easy Setup: Just pip install and run
  • Multiple Models: Use any Hugging Face model
  • Resource Efficient: Automatic optimization
  • Privacy First: All local, no data sent to cloud
  • Free GPU: Google Colab integration

➡️ See All Features

🔍 Need Help?

📖 Additional Resources


Made with ❤️ by Utkarsh Tiwari
GitHubTwitterLinkedIn

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

locallab-0.4.29.tar.gz (53.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

locallab-0.4.29-py3-none-any.whl (57.6 kB view details)

Uploaded Python 3

File details

Details for the file locallab-0.4.29.tar.gz.

File metadata

  • Download URL: locallab-0.4.29.tar.gz
  • Upload date:
  • Size: 53.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for locallab-0.4.29.tar.gz
Algorithm Hash digest
SHA256 a278236c519a2a3b47a243fe07bf8bdc8a20cc515a818c729b65fe2ad5651027
MD5 e371a081b9188b9d94cfd9fc1578fe94
BLAKE2b-256 a7fafbaf74022c84b11f3661d996739dc1a0acebb8ca0d4c9c4bd498d915696b

See more details on using hashes here.

File details

Details for the file locallab-0.4.29-py3-none-any.whl.

File metadata

  • Download URL: locallab-0.4.29-py3-none-any.whl
  • Upload date:
  • Size: 57.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for locallab-0.4.29-py3-none-any.whl
Algorithm Hash digest
SHA256 fb9eee1a61205769bca2dcd663ec120086ac484ee4a96a139a13e5cb8ab54f4d
MD5 ad00762fd12d4d6303c8ae4d62a4300c
BLAKE2b-256 2747717aedb24f809dde75dc02e52448d725a4aab89c92be18ef6e98097212fb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page