voice_call_noise_cancellation.rs

// File: audio_semantic_analyzer.rs

use std::io;
use std::path::Path;
use std::fs::File;
use std::io::Read;
use serde::{Deserialize, Serialize};

#[derive(Serialize, Deserialize, Debug)]
struct AudioFeatures {
    duration: f32,
    sample_rate: u32,
    bit_depth: u16,
    channels: u16,
    rms: f32,
    zero_crossing_rate: f32,
    spectral_centroid: f32,
    // Add more features as needed
}

struct LanguageModel {
    model_path: String,
    // Add other necessary fields for the language model if required
}

impl LanguageModel {
    // Constructor to initialize the language model
    fn new(model_path: &str) -> Self {
        println!("Initializing LLM with model path: {}", model_path);
        // Load and initialize the language model
        // ...
        LanguageModel {
            model_path: model_path.to_string(),
            // Initialize other fields if necessary
        }
    }

    // Method to analyze audio features and generate semantic tags
    fn analyze_audio(&self, audio_features: &AudioFeatures) -> Vec<String> {
        println!("Analyzing audio features using LLM...");
        // Perform audio analysis using the language model
        // ...
        // Return the generated semantic tags
        vec![
            "Emotional".to_string(),
            "Uplifting".to_string(),
            "Instrumental".to_string(),
            "Classical".to_string(),
        ]
    }
}

// Function to load an audio file and return its contents as a byte vector
fn load_audio_file(audio_file: &str) -> Result<Vec<u8>, std::io::Error> {
    let path = Path::new(audio_file); // Create a Path object from the file path
    let mut file = File::open(path)?; // Open the file
    let mut buffer = Vec::new(); // Create a buffer to hold the file contents
    file.read_to_end(&mut buffer)?; // Read the file contents into the buffer
    Ok(buffer) // Return the buffer
}

// Function to extract audio features from the audio data
fn extract_audio_features(audio_data: &[u8]) -> AudioFeatures {
    println!("Extracting audio features...");
    // Use audio processing libraries or algorithms to extract features from the audio data
    // Placeholder implementation
    AudioFeatures {
        duration: 180.0,
        sample_rate: 44100,
        bit_depth: 16,
        channels: 2,
        rms: 0.05,
        zero_crossing_rate: 0.1,
        spectral_centroid: 3000.0,
        // Set the actual values based on the extracted features
    }
}

// Function to save the analysis results to a file or database
fn save_analysis_results(audio_features: &AudioFeatures, tags: &[String]) {
    // Convert the audio features and tags to JSON format
    let features_json = serde_json::to_string_pretty(&audio_features).unwrap(); // Possible error: Serialization error
    let tags_json = serde_json::to_string_pretty(&tags).unwrap(); // Possible error: Serialization error

    // Save the analysis results to a file or database
    // Placeholder implementation
    println!("Features JSON: {}", features_json); // Print the features JSON for demonstration purposes
    println!("Tags JSON: {}", tags_json); // Print the tags JSON for demonstration purposes
    println!("Analysis results saved successfully.");
}

fn main() {
    println!("Welcome to the Audio Semantic Analyzer!");

    // Prompt the user to enter the path to the LLM model
    println!("Please enter the path to the LLM model:");
    let mut model_path = String::new();
    io::stdin()
        .read_line(&mut model_path)
        .expect("Failed to read input"); // Possible error: Input read error
    let model_path = model_path.trim(); // Trim whitespace from the input

    // Initialize the language model
    let llm = LanguageModel::new(model_path);

    // Prompt the user to enter the path to the audio file
    println!("Please enter the path to the audio file:");
    let mut audio_file = String::new();
    io::stdin()
        .read_line(&mut audio_file)
        .expect("Failed to read input"); // Possible error: Input read error
    let audio_file = audio_file.trim(); // Trim whitespace from the input

    // Load the audio file
    let audio_data = match load_audio_file(audio_file) {
        Ok(data) => data,
        Err(e) => {
            eprintln!("Error loading audio file: {}", e); // Log the error
            return; // Exit if there's an error loading the file
        }
    };

    // Extract audio features from the loaded data
    let audio_features = extract_audio_features(&audio_data);
    println!("Extracted Audio Features: {:?}", audio_features);

    // Analyze the extracted features using the language model
    let tags = llm.analyze_audio(&audio_features);
    println!("Generated Semantic Tags: {:?}", tags);

    // Save the analysis results
    save_analysis_results(&audio_features, &tags);

    // Prompt the user for additional analysis or actions
    println!("Would you like to perform any additional analysis or actions? (y/n)");
    let mut choice = String::new();
    io::stdin()
        .read_line(&mut choice)
        .expect("Failed to read input"); // Possible error: Input read error
    let choice = choice.trim().to_lowercase(); // Trim whitespace and convert to lowercase

    if choice == "y" {
        // Implement additional analysis or actions based on user input
        // Placeholder implementation
        println!("Additional analysis or actions not yet implemented.");
    }

    println!("Thank you for using the Audio Semantic Analyzer!");
}