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metadata
title: CodeLlama Code Generator
emoji: 🦙
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.19.2
app_file: app.py
pinned: false
license: bigscience-openrail-m
short_description: Interactive CodeLlama code generation demo
CodeLlama Code Generator
This is an interactive demo of the CodeLlama-7b model for generating code completions. The application provides a simple interface where you can enter a code prompt and get AI-generated code completions.
Features
- Interactive code generation with CodeLlama-7b model
- Adjustable parameters (temperature, max length, etc.)
- Example prompts to get started quickly
- Real-time generation with timing information
How to Use
- Enter a code prompt in the input box (e.g., a function signature or class definition)
- Adjust the generation parameters if needed:
- Max Length: Controls the maximum length of the generated text
- Temperature: Controls randomness (lower = more deterministic)
- Top-p: Controls diversity via nucleus sampling
- Top-k: Controls diversity via top-k sampling
- Click "Generate Code" to get your completion
- Try different prompts and parameters to see how they affect the output
Examples
The demo includes several example prompts to help you get started:
- Function to implement exponential backoff for network pings
- Fibonacci sequence implementation
- Binary search tree class
- Asynchronous data fetching function
Authentication Requirements
Important: CodeLlama is a gated model that requires authentication to access. To use this demo:
- You must accept the model's license at meta-llama/CodeLlama-7b-hf
- You need to set your Hugging Face token in the Space's settings:
- Go to Settings > Repository Secrets > Add
- Create a secret named
HF_TOKEN
with your Hugging Face token as the value
Without proper authentication, the demo will show a limited interface with instructions.
Technical Details
This demo uses:
- CodeLlama-7b model from Meta
- Hugging Face Transformers library
- Gradio for the web interface
License
This demo is provided under the BigScience OpenRAIL-M license.