GitPodcast vs Canopy Labs

Comparing the features of GitPodcast to Canopy Labs

Feature
GitPodcast
Canopy Labs

Capability Features

Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
Example Repositories Provided
Click3FastAPIStreamlitFlaskapi-analyticsMonkeytype
Guided Emotion and Intonation
Handles Disfluencies
Input Streaming for Lower Latency
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
No Sign-in Needed for Basic
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Podcast Generation Automation
Podcast Length Options
Basic (~5min)In Depth (~10min)
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Realtime Streaming
Sample Finetuning Scripts
Sliding Window Detokenizer
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Text to Speech
Training Data Volume
100k+ hours of speech, billions of text tokens
URL Shortcut
Zero-Shot Voice Cloning

Integration Features

Baseten 1-Click Deployment
GitHub Integration
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Python Package for Streaming

Limitation Features

English Language Only
No API Mentioned
No Explicit Pricing Details
No Mention of Export Features
No Mention of File Format Support
No Mention of Pricing Plans
Sign-in Required for In-Depth

Pricing Features

Free Tier