Update README.md

README.md

@@ -9,6 +9,85 @@ app_file: app.py
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+
+Create a summary of what this code can do as a markdown outline and table.  In the table feature a glossary with meanings and definitions for some of the functions and operations in the app.  Have one outline specifcally for describing the functions, inputs and outputs.    
+
+
+# Stable Audio Multiplayer Live App
+
+## App Features
+- Generate audio using text prompts
+- Customize audio generation parameters
+ - Duration
+ - Number of diffusion steps
+ - Sampler type
+ - CFG scale
+ - Sigma min and max values
+- Share generated audio with the community
+- View and listen to audio generated by other users
+- Load more community-generated audio on demand
+
+## Code Structure
+1. Import necessary libraries
+2. Define constants and settings
+3. Load the pre-trained model
+4. Define the `generate_audio` function
+  - Set up text and timing conditioning
+  - Generate stereo audio
+  - Process and save the generated audio
+5. Define utility functions
+  - `list_all_outputs`: List all generated audio files
+  - `increase_list_size`: Increase the number of displayed community-generated audio files
+6. Create the Gradio interface
+  - Set up the input components (text prompt, parameters)
+  - Display the generated audio output
+  - Show community-generated audio
+  - Provide examples for users to try
+7. Load the model and launch the app
+
+## Functions, Inputs, and Outputs
+
+1. `load_model`
+  - Purpose: Load the pre-trained model and configuration
+  - Inputs: None
+  - Outputs: `model` (loaded model), `model_config` (model configuration)
+
+2. `generate_audio`
+  - Purpose: Generate audio based on the provided text prompt and parameters
+  - Inputs:
+    - `prompt` (text prompt)
+    - `sampler_type_dropdown` (selected sampler type)
+    - `seconds_total` (duration in seconds)
+    - `steps` (number of diffusion steps)
+    - `cfg_scale` (CFG scale value)
+    - `sigma_min_slider` (sigma min value)
+    - `sigma_max_slider` (sigma max value)
+  - Outputs: `unique_filename` (path to the generated audio file)
+
+3. `list_all_outputs`
+  - Purpose: List all generated audio files and update the community-generated audio display
+  - Inputs: `generation_history` (comma-separated list of previously displayed audio files)
+  - Outputs: `updated_history` (updated comma-separated list of audio files), `gr.update(visible=True)` (update the visibility of the community-generated audio section)
+
+4. `increase_list_size`
+  - Purpose: Increase the number of displayed community-generated audio files
+  - Inputs: `list_size` (current number of displayed audio files)
+  - Outputs: `list_size+PAGE_SIZE` (increased number of displayed audio files)
+
+## Glossary
+
+| Term | Definition |
+|------|------------|
+| Diffusion Model | A generative model that learns to denoise data by reversing a gradual noising process |
+| Sampler Type | The algorithm used to generate audio samples from the diffusion model |
+| CFG Scale | Classifier-Free Guidance scale, controls the influence of the text prompt on the generated audio |
+| Sigma | Noise level values used in the diffusion process, determining the amount of noise added or removed |
+| Gradio | A Python library for building web-based interfaces for machine learning models |
+| Einops | A library for flexible and readable tensor operations, used for rearranging the generated audio |
+| Torchaudio | A PyTorch library for working with audio data, used for saving the generated audio to a file |
+
+
+
 The code achieves this functionality through the following functions:
 
 generate_audio function: