import gradio as gr
from PIL import Image
import os
import ffmpeg

# Atur tema Gradio
gr.themes.Soft()

# Format gambar yang didukung
supported_formats = sorted(Image.SAVE.keys()) or ['BLP', 'BMP', 'BUFR', 'DDS', 'DIB', 'EPS',
                                                  'GIF', 'GRIB', 'HDF5', 'ICNS', 'ICO', 'IM',
                                                  'JPEG', 'JPEG2000', 'MPO', 'MSP', 'PALM', 'PCX',
                                                  'PDF', 'PNG', 'PPM', 'SGI', 'SPIDER', 'TGA', 'TIFF']

def convert_image_ffmpeg(image, target_format):
    try:
        # Ambil nama file asli tanpa ekstensi
        base_name = os.path.splitext(os.path.basename(image))[0]
        
        # Nama file keluaran dengan awalan yang diinginkan
        output_file = f"flowly_ai_image_converter_{base_name}.{target_format.lower()}"
        
        # Gunakan ffmpeg untuk konversi
        (
            ffmpeg
            .input(image)
            .output(output_file, format=target_format)
            .overwrite_output()
            .run(capture_stdout=True, capture_stderr=True)
        )

        return output_file
    except Exception as e:
        return f"Error: {e}"

# Antarmuka Gradio
interface = gr.Interface(
    fn=convert_image_ffmpeg,
    inputs=[
        gr.Image(label="Upload Image", type="filepath", height=512),  # Input gambar
        gr.Dropdown(label="Select Target Format", choices=supported_formats)  # Pilih format
    ],
    outputs=gr.File(label="Converted Image"),  # Output file hasil
    title="Image Format Converter",
    description="Upload an image and select any target format for conversion using FFmpeg.",
    css="footer {visibility: hidden}"  # Sembunyikan footer
)

# Jalankan aplikasi
if __name__ == "__main__":
    interface.launch()