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import os
import torch
import argparse
import gradio as gr
from mailersend import emails
from dotenv import load_dotenv
import base64
import psycopg2
from urllib.parse import urlparse, parse_qs
import shutil
import boto3
from botocore.exceptions import NoCredentialsError
import json
from elevenlabs import ElevenLabs
# Load environment variables
load_dotenv()
# Argument parsing
parser = argparse.ArgumentParser()
parser.add_argument("--share", action='store_true', default=False, help="make link public")
args = parser.parse_args()
device = 'cuda' if torch.cuda.is_available() else 'cpu'
output_dir = 'outputs'
samples_dir = 'samples'
os.makedirs(output_dir, exist_ok=True)
os.makedirs(samples_dir, exist_ok=True)
supported_languages = ['zh', 'en']
MAILERSEND_API_KEY = os.getenv("MAILERSEND_API_KEY")
MAILERSEND_DOMAIN = os.getenv("MAILERSEND_DOMAIN")
MAILERSEND_SENDER_EMAIL = f"noreply@{MAILERSEND_DOMAIN}"
MAILERSEND_SENDER_NAME = "Voice Clone App"
ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")
elevenlabs_client = ElevenLabs(api_key=ELEVENLABS_API_KEY)
AWS_ACCESS_KEY_ID = os.getenv('AWS_ACCESS_KEY_ID')
AWS_SECRET_ACCESS_KEY = os.getenv('AWS_SECRET_ACCESS_KEY')
AWS_REGION_NAME = os.getenv('AWS_REGION_NAME')
S3_BUCKET_NAME = os.getenv('S3_BUCKET_NAME')
# List of blocked words
BLOCKED_WORDS = ['Kill','hurt','shoot','gun','rifle','AR','semi automatic','knife','blade','sword','punch harm','disrupt','blackmail','steal','bitch','cunt','fuck','freaking','nigger','nigga','niggas','cracker','jew','oriental','fag','faggot','account','money','transfer','urgent','help','scared','policy','frightened','accident','fear','scam','address','social security number','assault','injure','maim','destroy','damage','threaten','intimidate','bully','menace','blackmail','extort','exploit','defame','steal','rob','embezzle','defraud Harass','jerk','idiot','stupid','moron','asshole','con','trick','swindle','defraud','payment','credit card','bank account','urgent','immediate','afraid','phone number','email','password']
# Function to check for blocked words
def contains_blocked_words(text):
return any(word.lower() in text.lower() for word in BLOCKED_WORDS)
# Function to send email with downloadable file using MailerSend
def send_email_with_file(recipient_email, file_path, subject, body):
try:
mailer = emails.NewEmail(MAILERSEND_API_KEY)
mail_body = {}
mail_from = {
"name": MAILERSEND_SENDER_NAME,
"email": MAILERSEND_SENDER_EMAIL,
}
recipients = [
{
"name": "Recipient",
"email": recipient_email,
}
]
mailer.set_mail_from(mail_from, mail_body)
mailer.set_mail_to(recipients, mail_body)
mailer.set_subject(subject, mail_body)
mailer.set_html_content(f"<p>{body}</p>", mail_body)
mailer.set_plaintext_content(body, mail_body)
with open(file_path, "rb") as file:
attachment_content = base64.b64encode(file.read()).decode('utf-8')
attachments = [
{
"filename": os.path.basename(file_path),
"content": attachment_content,
"disposition": "attachment"
}
]
mailer.set_attachments(attachments, mail_body)
response = mailer.send(mail_body)
if response[0] == 202:
print("Email sent successfully")
return True
else:
print(f"Failed to send email. Status code: {response[0]}")
print(f"Response: {response[1]}")
return False
except Exception as e:
print(f"An error occurred while sending email: {e}")
return False
# Database connection details
connection_string = os.environ.get("DATABASE_URL")
result = urlparse(connection_string)
user = result.username
password = result.password
host = result.hostname
port = result.port
database = result.path[1:]
sslmode = parse_qs(result.query)['sslmode'][0]
# Function to add user information to the database
def add_user_info_to_db(email, order_name, sample_audio_path, name):
connection = psycopg2.connect(
dbname=database,
user=user,
password=password,
host=host,
port=port,
sslmode=sslmode
)
cursor = connection.cursor()
insert_query = """
INSERT INTO main (email, order_name, sample_audio, name)
VALUES (%s, %s, %s, %s);
"""
try:
cursor.execute(insert_query, (email, order_name, sample_audio_path, name))
connection.commit()
print("User information added to the database successfully")
except Exception as error:
print(f"Error occurred during data insertion: {error}")
connection.rollback()
finally:
cursor.close()
connection.close()
# S3 upload functions
def upload_to_s3(local_file, bucket, s3_file):
s3 = boto3.client('s3',
aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
region_name=AWS_REGION_NAME)
try:
s3.upload_file(local_file, bucket, s3_file, ExtraArgs={'ACL': 'public-read'})
print(f"Upload Successful: {s3_file}")
return True
except FileNotFoundError:
print(f"The file was not found: {local_file}")
return False
except NoCredentialsError:
print("Credentials not available")
return False
def upload_voice_sample_and_metadata(sample_path, metadata, bucket):
# Upload the voice sample
sample_filename = os.path.basename(sample_path)
s3_sample_path = f'voice_samples/{sample_filename}'
if not upload_to_s3(sample_path, bucket, s3_sample_path):
return False
# Create and upload metadata file
metadata['sample_s3_path'] = s3_sample_path
metadata_filename = f"{os.path.splitext(sample_filename)[0]}_metadata.json"
s3_metadata_path = f'voice_metadata/{metadata_filename}'
# Save metadata to a temporary file
temp_metadata_path = '/tmp/temp_metadata.json'
with open(temp_metadata_path, 'w') as f:
json.dump(metadata, f)
# Upload metadata file
if not upload_to_s3(temp_metadata_path, bucket, s3_metadata_path):
return False
# Clean up temporary file
os.remove(temp_metadata_path)
return True
# Predict function with ElevenLabs API usage
def predict(prompt, style, audio_file_pth, voice_name, customer_email, order_name):
text_hint = 'Your file will only be saved for 24 hours.\n'
if len(prompt) < 2:
text_hint += "[ERROR] Please provide a longer prompt text.\n"
return text_hint, None, None
if len(prompt) > 200:
text_hint += "[ERROR] Text length limited to 200 characters. Please try shorter text.\n"
return text_hint, None, None
if contains_blocked_words(prompt):
text_hint += "[ERROR] Your text contains blocked words. Please remove them and try again.\n"
return text_hint, None, None
# Copy the sample audio to the samples directory
sample_filename = f"{voice_name}_{customer_email}_sample.mp3"
sample_path = os.path.join(samples_dir, sample_filename)
shutil.copy2(audio_file_pth, sample_path)
# Prepare metadata
metadata = {
'name': voice_name,
'email': customer_email,
'order_name': order_name
}
# Upload voice sample and metadata to S3
if upload_voice_sample_and_metadata(sample_path, metadata, S3_BUCKET_NAME):
text_hint += "Voice sample and metadata uploaded to S3 successfully.\n"
else:
text_hint += "Failed to upload voice sample and metadata to S3.\n"
# Add user information to the database
add_user_info_to_db(customer_email, order_name, sample_path, voice_name)
# Use ElevenLabs API to generate the cloned voice audio
try:
response = elevenlabs_client.text_to_speech(prompt, voice_name=voice_name, style=style)
output_audio_path = os.path.join(output_dir, f"{voice_name}_output.mp3")
with open(output_audio_path, 'wb') as f:
f.write(response['audio'])
text_hint += "Audio generated successfully using ElevenLabs.\n"
except Exception as e:
text_hint += f"[ERROR] ElevenLabs API error: {e}\n"
return text_hint, None, None
# Send email with the generated audio file
email_subject = "Your Voice Clone Audio is Ready"
email_body = f"Hi {voice_name},\n\nYour voice clone audio file is ready. Please find the attached file.\n\nBest regards,\nVoice Clone App"
if send_email_with_file(customer_email, output_audio_path, email_subject, email_body):
text_hint += "Email sent successfully with the generated audio file.\n"
else:
text_hint += "Failed to send email with the generated audio file.\n"
return text_hint, output_audio_path, audio_file_pth
# Gradio interface setup
with gr.Blocks(gr.themes.Glass()) as demo:
with gr.Row():
with gr.Column():
input_text_gr = gr.Textbox(
label="Create This",
info="One or two sentences at a time is better. Up to 200 text characters.",
value="He hoped there would be stew for dinner, turnips and carrots and bruised potatoes and fat mutton pieces to be ladled out in thick, peppered, flour-fattened sauce.",
)
style_gr = gr.Dropdown(
label="Style",
choices=['default', 'whispering', 'cheerful', 'terrified', 'angry', 'sad', 'friendly'],
info="Please upload a reference audio file that is at least 1 minute long. For best results, ensure the audio is clear.",
max_choices=1,
value="default",
)
ref_gr = gr.Audio(
label="Original Audio",
type="filepath",
sources=["upload"],
)
voice_name_gr = gr.Textbox(
label="Your name",
value="Sam"
)
order_gr = gr.Textbox(
label="Your order",
value="Sample Order",
)
customer_email_gr = gr.Textbox(
label="Your Email",
info="We'll send you a downloadable file to this email address."
)
tts_button = gr.Button("Start", elem_id="send-btn", visible=True)
with gr.Column():
out_text_gr = gr.Text(label="Info")
audio_gr = gr.Audio(label="Generated Audio", autoplay=True)
ref_audio_gr = gr.Audio(label="Original Audio Used")
tts_button.click(predict, [input_text_gr, style_gr, ref_gr, voice_name_gr, customer_email_gr, order_gr], outputs=[out_text_gr, audio_gr, ref_audio_gr])
demo.queue()
demo.launch(debug=True, show_api=False, share=args.share)
css = """
footer {visibility: hidden}
audio .btn-container {display: none}
"""
demo.add_css(css)
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