Create app.py

app.py

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+import gradio as gr
+import moviepy.editor as mp
+import some_voice_separator_lib  # Placeholder for your voice separation library
+import audio_type_identifier  # Placeholder for identifying audio types
+import whisper  # Whisper for speech recognition
+import translation_model  # Placeholder for the translation model
+import xtts_model  # Placeholder for the X-TTS voice cloning model
+import singing_synthesis_model  # Placeholder for the singing synthesis model
+
+def separate_audio_tracks(video_file):
+    """Separate vocal and instrumental tracks from the video."""
+    return some_voice_separator_lib.separate_vocals(video_file)
+
+def transcribe_and_translate(spoken_segment, target_language):
+    """Transcribe spoken audio and translate it into the target language."""
+    whisper_model = whisper.load_model("large")
+    transcription = whisper_model.transcribe(spoken_segment)
+    translated_text = translation_model.translate(transcription['text'], target_language)
+    return translated_text
+
+def synthesize_singing(segment, target_language):
+    """Synthesize singing audio in the target language."""
+    return singing_synthesis_model.synthesize(segment, target_language)
+
+def clone_voice(translated_text, target_language):
+    """Clone the voice for the translated text."""
+    return xtts_model.clone_voice(translated_text, target_language)
+
+def process_video(video_file, target_language):
+    """Main function to process the video and replace audio with translated content."""
+    # Step 1: Separate audio tracks
+    vocal_track, instrumental_track = separate_audio_tracks(video_file)
+
+    # Step 2: Identify spoken and singing segments
+    spoken_segments, singing_segments = audio_type_identifier.identify_segments(vocal_track)
+
+    # Prepare final audio track with the instrumental background
+    final_audio = mp.AudioFileClip(instrumental_track)
+
+    # Process spoken segments
+    for segment in spoken_segments:
+        translated_text = transcribe_and_translate(segment, target_language)
+        new_audio_segment = clone_voice(translated_text, target_language)
+        final_audio = final_audio.set_duration(segment.duration).fx(mp.vfx.audio_fadeout, duration=1)
+
+    # Process singing segments
+    for segment in singing_segments:
+        singing_output = synthesize_singing(segment, target_language)
+        final_audio = final_audio.set_duration(segment.duration).fx(mp.vfx.audio_fadeout, duration=1)
+
+    # Step 3: Combine audio and video
+    final_video = mp.VideoFileClip(video_file)
+    final_video.audio = final_audio
+    output_path = "output_video.mp4"
+    final_video.write_videofile(output_path, codec='libx264', audio_codec='aac')
+
+    return output_path
+
+# Gradio interface setup
+iface = gr.Interface(
+    fn=process_video,
+    inputs=[
+        gr.inputs.Video(label="Upload Video"),
+        gr.inputs.Dropdown(
+            choices=["English", "Spanish", "Hungarian", "French", "German"],  # Add more languages as needed
+            label="Select Target Language"
+        )
+    ],
+    outputs="file",
+    title="Multilingual Video Translator",
+    description="Upload a video and select the target language to translate the vocal audio."
+)
+
+# Launch the Gradio interface
+iface.launch()