#!/bin/bash

# Run inference on LLaMA-Omni model
# Usage: bash run.sh <examples_directory>

EXAMPLES_DIR=$1

if [ -z "$EXAMPLES_DIR" ]; then
    echo "Error: Examples directory not specified"
    echo "Usage: bash run.sh <examples_directory>"
    exit 1
fi

if [ ! -d "$EXAMPLES_DIR" ]; then
    echo "Error: Directory $EXAMPLES_DIR does not exist"
    exit 1
fi

# Check if the model and vocoder exist (placeholders for real implementation)
echo "Checking if required models are available..."
echo "Note: In a real deployment, the model would be downloaded from Hugging Face"

# Process each JSON file in the examples directory
for json_file in "$EXAMPLES_DIR"/*.json; do
    if [ -f "$json_file" ]; then
        echo "Processing $json_file..."
        # In a real implementation, this would call a Python script
        echo "python -m omni_speech.infer.inference --input $json_file --output results/$(basename $json_file .json)"
    fi
done

echo "Inference complete."