Update app.py

app.py

@@ -11,10 +11,6 @@ from TTS.api import TTS
 # # Set environment variables to accept license terms
 os.environ["COQUI_TOS_AGREED"] = "1"
 
-
-
-
-
 # Глобальные переменные и настройки
 language_options = {
     "English (en)": "en",
@@ -48,22 +44,6 @@ other_language = {
 tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2")
 
 # Функции для голосового клонирования
-def clean_audio(audio_path):
-    with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as temp_output:
-        out_filename = temp_output.name
-
-    lowpass_highpass = "lowpass=8000,highpass=75,"
-    trim_silence = "areverse,silenceremove=start_periods=1:start_silence=0:start_threshold=0.02,areverse,silenceremove=start_periods=1:start_silence=0:start_threshold=0.02,"
-
-    try:
-        shell_command = f"ffmpeg -y -i {audio_path} -af {lowpass_highpass}{trim_silence} {out_filename}".split()
-        subprocess.run(shell_command, capture_output=True, check=True)
-        print(f"Audio cleaned and saved to {out_filename}")
-        return out_filename
-    except subprocess.CalledProcessError as e:
-        print(f"Error during audio cleaning: {e}")
-        return audio_path
-
 def check_audio_length(audio_path, max_duration=120):
     try:
         audio = AudioSegment.from_file(audio_path)
@@ -154,16 +134,10 @@ def process_speech(text, speaker_wav_path, selected_language, speed):
         error = gr.Error(error_message, duration=5)
         raise error
 
-    # Clean audio
-    cleaned_wav_path = clean_audio(speaker_wav_path)
-
     if selected_language in other_language:
-        output_audio_data = synthesize_and_convert_voice(text, language_code, cleaned_wav_path, speed)
+        output_audio_data = synthesize_and_convert_voice(text, language_code, speaker_wav_path, speed)
     else:
-        output_audio_data = synthesize_speech(text, cleaned_wav_path, language_code, speed)
-
-    # Remove temporary files
-    os.remove(cleaned_wav_path)
+        output_audio_data = synthesize_speech(text, speaker_wav_path, language_code, speed)
 
     return output_audio_data