ferrisup 0.2.5

A versatile Rust project bootstrapping tool - start anywhere, scale anywhere
Documentation 
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//! MODEL_NAME AI model implementation

use anyhow::{Context, Result};

/// AI Model for inference
pub struct Model {
    name: String,
    // In a real application, you would have model weights, tokenizers, etc.
}

impl Model {
    /// Create a new model instance
    pub fn new(name: &str) -> Self {
        Self {
            name: name.to_string(),
        }
    }
    
    /// Load model from a path
    pub fn load_from_path(path: &str) -> Result<Self> {
        println!("Loading model from: {}", path);
        
        // In a real application, you would load model weights here
        
        Ok(Self {
            name: "MODEL_NAME".to_string(),
        })
    }
    
    /// Run inference on input text
    pub fn infer(&self, input: &str) -> Result<String> {
        println!("Running inference with model: {}", self.name);
        println!("Input: {}", input);
        
        // In a real application, you would:
        // 1. Tokenize the input
        // 2. Run the model forward pass
        // 3. Process the output
        
        // This is just a placeholder
        let output = format!("AI response to: {}", input);
        
        Ok(output)
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    
    #[test]
    fn test_model_creation() {
        let model = Model::new("test-model");
        assert_eq!(model.name, "test-model");
    }
    
    #[test]
    fn test_inference() {
        let model = Model::new("test-model");
        let result = model.infer("Hello AI").unwrap();
        assert!(result.contains("Hello AI"));
    }
}