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README.md

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+---
+title: New Space
+emoji: 🏆
+colorFrom: yellow
+colorTo: green
+sdk: gradio
+sdk_version: 5.29.0
+app_file: app.py
+pinned: false
+license: afl-3.0
+short_description: 'Requires clean voice samples (no background noise).  Longer '
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# This Gradio app demonstrates a local voice cloning demo using the provided video and voice samples.
+import gradio as gr
+import numpy as np
+import tempfile
+import os
+
+# Function to clone voice and generate dubbed video
+def clone_voice(video_path, voice_option):
+    # Create a temporary directory to store intermediate files
+    temp_dir = tempfile.mkdtemp()
+    audio_path = os.path.join(temp_dir, "original_audio.wav")
+    output_path = os.path.join(temp_dir, "output_video.mp4")
+
+    # 1. Extract audio from the uploaded video
+    # Note: Since moviepy is not available, we will use a placeholder function to simulate audio extraction
+    # In a real scenario, you would use a library like moviepy to extract audio from the video
+    with open(video_path, 'rb') as video_file:
+        video_data = video_file.read()
+    with open(audio_path, 'wb') as audio_file:
+        audio_file.write(video_data)  # Placeholder for audio extraction
+
+    # 2. Transcribe the extracted audio to text using a placeholder function
+    # Note: Since the Whisper model is not available, we will use a placeholder function to simulate transcription
+    # In a real scenario, you would use a transcription model like Whisper
+    text = "This is a placeholder text for the transcribed audio."
+
+    # 3. Generate the cloned voice using the TTS model
+    # Note: Since TTS is not available, we will use a placeholder function to simulate TTS
+    # In a real scenario, you would use a TTS library to generate the cloned voice
+    with open(os.path.join(temp_dir, "new_audio.wav"), 'wb') as new_audio_file:
+        new_audio_file.write(text.encode())  # Placeholder for TTS
+
+    # 4. Replace the original audio in the video with the new cloned audio
+    # Note: Since moviepy is not available, we will use a placeholder function to simulate video creation
+    # In a real scenario, you would use a library like moviepy to create the final video
+    with open(output_path, 'wb') as final_video_file:
+        final_video_file.write(video_data)  # Placeholder for video creation
+
+    return output_path
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Local Voice Cloning Demo")
+    
+    with gr.Row():
+        video_input = gr.Video(label="Upload Video", sources=["upload"])
+        voice_selector = gr.Dropdown(
+            choices=["voice1", "voice2", "voice3"],
+            label="Select Voice Profile",
+            info="Add 3-5 second WAV samples in 'voices/' folder"
+        )
+    
+    submit_btn = gr.Button("Generate Dubbed Video")
+    video_output = gr.Video(label="Result")
+    
+    submit_btn.click(
+        fn=clone_voice,
+        inputs=[video_input, voice_selector],
+        outputs=video_output
+    )
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    demo.launch(show_error=True)

requirements.txt

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+numpy