Spaces:
Running
Running
import os | |
import secrets | |
import threading | |
import gradio as gr | |
from AudioFusion import Fusion | |
from telethon.sync import TelegramClient, events, Button | |
API_ID = os.environ.get("API_ID") | |
API_HASH = os.environ.get("API_HASH") | |
BOT_TOKEN = os.environ.get("BOT_TOKEN") | |
def process_audio(input_file, | |
effect_8d, pan_boundary, jump_percentage, time_l_to_r, volume_multiplier, | |
effect_slowed, speed_multiplier, | |
effect_reverb, room_size, damping, width, wet_level, dry_level | |
): | |
# Load the sound file | |
sound = Fusion.loadSound(input_file) | |
os.remove(os.path.abspath(input_file)) | |
effects_str = [] | |
# Apply effects based on user choices | |
if effect_8d: | |
sound = Fusion.effect8D(sound, pan_boundary, jump_percentage, time_l_to_r*1000, volume_multiplier) | |
effects_str.append("8d") | |
if effect_slowed: | |
sound = Fusion.effectSlowed(sound, speed_multiplier) | |
effects_str.append("Slowed") | |
if effect_reverb: | |
sound = Fusion.effectReverb(sound, room_size, damping, width, wet_level, dry_level, str(secrets.token_hex(5))) | |
effects_str.append("Reverb") | |
output_file = f"{input_file} {' + '.join(effects_str)} - {'By AudioFusion'}" | |
# Save the processed sound and return the output file | |
output = Fusion.saveSound(sound, output_file) | |
return output | |
before_text = """<div align="center"> | |
<h1>AudioFusion</h1> | |
<i>Add a touch of uniqueness with various customizable effects like slowed and reverb.</i> | |
</div> | |
<hr>""" | |
after_text = """<hr> | |
PR in [github](https://github.com/MineisZarox/AudioFusion) repository beta branch are always welcome. | |
<h3>Todo</h3> | |
\# Acapella Extractor<br> | |
\# Karoke Maker<br> | |
\# Bass Booster<br> | |
\# Volume Booster<br> | |
<h3>Inspiration & Credits</h3> | |
- Special thanks to [Jiaaro](https://github.com/jiaaro) for pydub. AudioFusion is mainly wrapped around pydub | |
- My Soundscapes of Serenity - [Because](https://t.me/bcuzwhynot) | |
""" | |
with gr.Blocks(title="Audio Fusion") as iface: | |
gr.Markdown(before_text) | |
input_audio = gr.Audio(label="Upload your music file", type="filepath") | |
# SLowed Effect and its arguments | |
with gr.Tab("Slowed Effect"): | |
speed_check = gr.Checkbox(label="Apply slowed effect") | |
with gr.Column(visible=False) as se_col: | |
speed = gr.Slider(label="Speed Multiplier", minimum=0.1, maximum=4, step=0.05, value=0.90) | |
# Reverb Effect and its argument | |
with gr.Tab("Reverb Effect"): | |
reverb_check = gr.Checkbox(label="Apply reverb effect") | |
with gr.Column(visible=False) as re_col: | |
with gr.Row(): | |
room = gr.Slider(label="Room Size", minimum=0, maximum=1, step=0.01, value=0.8) | |
damp = gr.Slider(label="Damping", minimum=0, maximum=1, step=0.05, value=1) | |
width = gr.Slider(label="Width", minimum=0, maximum=1, step=0.05, value=0.5) | |
with gr.Row(): | |
wet = gr.Slider(label="Wet Level", minimum=0, maximum=1, step=0.05, value=0.3) | |
dry = gr.Slider(label="Dry Level", minimum=0, maximum=1, step=0.05, value=0.8) | |
# 8d Effect and its arguments | |
with gr.Tab("8d Effect"): | |
dimension_check = gr.Checkbox(label="Apply 8D effect") | |
with gr.Column(visible=False) as di_col: | |
with gr.Row(): | |
pan = gr.Slider(label="Pan Boundary", minimum=0, maximum=100, value=90) | |
jump = gr.Slider(label="Jump Percentage", minimum=1, maximum=100, value=5) | |
with gr.Row(): | |
time = gr.Slider(label="Time L to R (s)", minimum=1, maximum=30, value=10) | |
volx = gr.Slider(label="Volume Multiplier", minimum=1, maximum=20, value=6) | |
# ===================================================== | |
def di_v(check): | |
if check: | |
return {di_col: gr.Column(visible=True)} | |
else: | |
return {di_col: gr.Column(visible=False)} | |
def se_v(check): | |
if check: | |
return {se_col: gr.Column(visible=True)} | |
else: | |
return {se_col: gr.Column(visible=False)} | |
def re_v(check): | |
if check: | |
return {re_col: gr.Column(visible=True)} | |
else: | |
return {re_col: gr.Column(visible=False)} | |
dimension_check.change(di_v, inputs=[dimension_check], outputs=[di_col]) | |
speed_check.change(se_v, inputs=[speed_check], outputs=[se_col]) | |
reverb_check.change(re_v, inputs=[reverb_check], outputs=[re_col]) | |
# ===================================================== | |
with gr.Row(): | |
btnClear = gr.ClearButton(components=[dimension_check, speed_check, reverb_check]) | |
btnRun = gr.Button("Run", size="sm", variant="primary") | |
inputs = [input_audio, dimension_check, pan, jump, time, volx, speed_check, speed, reverb_check, room, damp, width, wet, dry] | |
output = [gr.Audio(label="Download processed music", type="filepath")] | |
gr.Markdown(after_text) | |
btnClear.add(components=output) | |
btnRun.click(fn=process_audio, inputs=inputs, outputs=output, api_name="AudioFusion") | |
client = TelegramClient('session_name', API_ID, API_HASH) | |
async def start_handler(event): | |
await event.respond("Welcome to the bot!") | |
async def broadcast_handler(event): | |
threading.Thread(target=iface.launch).start() #(share=False) | |
message_to_broadcast = "Gradio running..." | |
await event.respond(message_to_broadcast) | |
async def initiation(): | |
await client.send_message(-1001662130485, "**Hugging is Running.**", buttons=[(Button.url("Execal", "https://t.me/execal"),)],) | |
if __name__ == '__main__': | |
client.start(bot_token=BOT_TOKEN) | |
client.loop.run_until_complete(initiation()) | |
print("Bot started succefully") | |
client.run_until_disconnected() | |