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import gradio as gr
from PIL import Image
from PIL import ImageSequence
import numpy as np
from apng import APNG
import os
import subprocess
def convert_audio(audio_file, output_format, change_bitrate, bitrate):
if audio_file is None:
return "Error: No audio file uploaded."
# Get the base name of the input file
base_name = os.path.splitext(os.path.basename(audio_file))[0]
# Convert the audio file to the selected format
output_audio_file = f'{base_name}.{output_format}'
# Create the ffmpeg command
command = ['ffmpeg', '-y', '-i', audio_file]
if output_format == "m4r":
command.extend(['-f', 'mp4'])
if change_bitrate:
command.extend(['-b:a', f'{bitrate}k'])
command.append(output_audio_file)
# Run the command
try:
subprocess.run(command, check=True)
except subprocess.CalledProcessError as e:
return f"Error in conversion: {str(e)}"
return output_audio_file
def convert_image(input_image, output_format, change_resolution, width, height):
if input_image is None:
return "Error: No image file uploaded."
base_name = os.path.splitext(os.path.basename(input_image))[0]
out_file = f'{base_name}.{output_format}'
command = ['ffmpeg', '-y', '-i', input_image, '-vframes', '1']
if change_resolution:
command.extend(['-vf', f'scale={width}:{height}'])
command.append(out_file)
try:
subprocess.run(command, check=True)
except subprocess.CalledProcessError as e:
return f"Error in conversion: {str(e)}"
return out_file
def main():
# Gradio Interface
with gr.Blocks() as app:
gr.Markdown(
"""
# <div align="center"> Ilaria Converter 💖 </div>
File conversion Software by Ilaria, support her on [Ko-Fi!](https://ko-fi.com/ilariaowo)
Need help with AI? [Join AI Hub!](https://discord.gg/aihub)
"""
)
with gr.Tab('Audio Conversion'):
with gr.Row():
audio_input = gr.Audio(type='filepath', label="Upload Audio File")
with gr.Column():
audio_output_format = gr.Dropdown(["wav", "flac", "ogg", "mp3", "aac", "m4a", "m4r"], label="Audio Output Format", info="Choose the desired output format for the audio file.")
change_bitrate = gr.Checkbox(label="Change Bitrate?")
audio_bitrate = gr.Dropdown(["128", "256", "320"], label="Audio Bitrate", info="Choose the bitrate for the audio file.")
convert_audio_butt = gr.Button(value='Convert Audio', variant='primary')
audio_output = gr.File(label="Download Converted Audio")
convert_audio_butt.click(fn=convert_audio, inputs=[audio_input, audio_output_format, change_bitrate, audio_bitrate], outputs=audio_output)
with gr.Tab('Image Conversion'):
with gr.Row():
image_input = gr.Image(type='filepath', image_mode='RGBA', label="Upload Image")
with gr.Column():
image_output_format = gr.Dropdown(["png", "jpg", "tiff", "bmp", "webp", "gif", "apng"], label="Image Output Format", info="Choose the desired output format for the image file.")
change_resolution = gr.Checkbox(label="Change Resolution?")
image_width = gr.Number(label="Image Width", value=1024, visible=False)
image_height = gr.Number(label="Image Height", value=768, visible=False)
convert_image_butt = gr.Button(value='Convert Image', variant='primary')
image_output = gr.File(label="Download Converted Image")
convert_image_butt.click(fn=convert_image, inputs=[image_input, image_output_format, change_resolution, image_width, image_height], outputs=image_output)
with gr.Tab(('')):
gr.Markdown("•••---•••")
app.queue(max_size=1022).launch(share=False)
# Create the Gradio interface
main()
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