Update app.py

app.py

@@ -1,51 +1,87 @@
-import os
 import gradio as gr
+import os
+import requests
 import torch
 import zipfile
 from TTS.api import TTS
 from pydub import AudioSegment
 
-# Constants
-AUDIO_FORMATS = [".wav", ".mp3", ".flac", ".mp4"]
+os.environ["COQUI_TOS_AGREED"] = "1"
+
+MODEL_PATH = "tts_models/multilingual/multi-dataset/xtts_v2"
 LANGUAGES = ["en", "es", "fr", "de", "it", "pt", "pl", "tr", "ru", "nl", "cs", "ar", "zh-cn", "ja", "hu", "ko", "hi"]
+AUDIO_FORMATS = [".wav", ".mp3", ".flac", ".mp4"]
 
-# Device setup
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 print(f"Using device: {device}")
 
-# TTS model setup
-os.environ["COQUI_TOS_AGREED"] = "1"
-MODEL_PATH = "tts_models/multilingual/multi-dataset/xtts_v2"
 tts = TTS(MODEL_PATH).to(device)
 
-def generate_audio(text, language, speed, pitch, volume):
- # Prepare input
- input_text = {"text": text, "language": language}
- tts.prepare_input(input_text)
+def download_audio_file(url):
+ try:
+ response = requests.get(url)
+ file_extension = os.path.splitext(url)[-1].lower()
+ file_name = f"temp{file_extension}"
+ with open(file_name, "wb") as f:
+ f.write(response.content)
+ return file_name
+ except requests.exceptions.RequestException as e:
+ print(f"Error downloading audio file: {e}")
+ return None
+
+def extract_zip_file(zip_file):
+ try:
+ with zipfile.ZipFile(zip_file, 'r') as zip_ref:
+ zip_ref.extractall()
+ return True
+ except zipfile.BadZipfile as e:
+ print(f"Error extracting zip file: {e}")
+ return False
 
- # Generate audio
- audio = tts.generate_audio(input_text, speed=speed, pitch=pitch, volume=volume)
+def convert_to_wav(input_audio_file):
+ file_extension = os.path.splitext(input_audio_file)[-1].lower()
+ if file_extension!= ".wav":
+ audio = AudioSegment.from_file(input_audio_file)
+ audio.export("temp.wav", format="wav")
+ os.remove(input_audio_file)
+ return "temp.wav"
+ return input_audio_file
 
- # Save audio
- audio_path = "output.wav"
- tts.save_audio(audio_path, audio)
+def synthesize_text(text, input_audio_file, language):
+ input_audio_file = convert_to_wav(input_audio_file)
+ tts.tts_to_file(text=text, speaker_wav=input_audio_file, language=language, file_path="./output.wav")
+ return "./output.wav"
 
- # Convert to mp3
- audio_segment = AudioSegment.from_wav(audio_path)
- audio_segment.export(audio_path[:-4] + ".mp3", format="mp3")
+def clone(text, input_file, language, url=None, use_url=False):
+ if use_url:
+ if url is None:
+ return None
+ input_audio_file = download_audio_file(url)
+ if input_audio_file is None:
+ return None
+ else:
+ if input_file is None:
+ return None
+ if input_file.name.endswith(".zip"):
+ if extract_zip_file(input_file):
+ input_audio_file = [f for f in os.listdir('.') if os.path.isfile(f) and f.endswith(tuple(AUDIO_FORMATS))]
+ if len(input_audio_file) == 1:
+ input_audio_file = input_audio_file[0]
+ else:
+ return "Error: Please select a single audio file from the extracted files."
+ else:
+ input_audio_file = input_file.name
 
- # Return audio path
- return audio_path[:-4] + ".mp3"
+ output_file_path = synthesize_text(text, input_audio_file, language)
+ return output_file_path
 
 iface = gr.Interface(
- generate_audio,
- inputs=["text", "language", "speed", "pitch", "volume"],
- outputs="audio",
- audio_output_type="mp3",
- title="Text-to-Speech",
- description="Convert text to speech in multiple languages.",
- allow_flagging=False,
- cache_examples=False,
+ fn=clone,
+ inputs=["text", gr.File(label="Input File", file_types=[".zip", *AUDIO_FORMATS]), gr.Dropdown(choices=LANGUAGES, label="Language"), gr.Text(label="URL"), gr.Checkbox(label="Use URL", value=False)],
+ outputs=gr.Audio(type='filepath'),
+ title='Voice Clone',
+ description=""" by [Angetyde](https://youtube.com/@Angetyde?si=7nusP31nTumIkPTF) and [Tony Assi](https://www.tonyassi.com/ ) use this colab with caution <3. """,
+ theme=gr.themes.Base(primary_hue="teal", secondary_hue="teal", neutral_hue="slate")
 )
 
-iface.launch()
+iface.launch(share=True)