Create create and train voice model

create and train voice model

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+import gradio as gr
+import requests
+import torch
+import librosa
+
+# URL to the external app.py file
+FILE_URL = "https://huggingface.co/data-science-123/abcd/new/main?filename=app.py"
+
+# Fetch the external app.py (or additional files) if needed
+def fetch_external_file(url):
+    response = requests.get(url)
+    if response.status_code == 200:
+        # Save to a local file if needed, or execute dynamically
+        with open('external_app.py', 'wb') as file:
+            file.write(response.content)
+    else:
+        raise Exception(f"Failed to fetch the file: {url}")
+
+# Fetch the file if you need to load any logic from it
+fetch_external_file(FILE_URL)
+
+# Load the pre-trained model (replace with your RVC model path or logic)
+from model import load_model, convert_voice
+
+model = load_model("path_to_pretrained_model")
+
+# Define the voice conversion logic
+def voice_conversion(source_audio, target_voice):
+    # Load and preprocess audio
+    y, sr = librosa.load(source_audio)
+    input_audio = torch.tensor(y).unsqueeze(0)
+
+    # Use the model for voice conversion
+    converted_audio = convert_voice(model, input_audio, target_voice)
+
+    # Convert the output tensor to a numpy array and save it
+    converted_audio_np = converted_audio.detach().cpu().numpy()
+    output_file = "output_converted.wav"
+    librosa.output.write_wav(output_file, converted_audio_np, sr)
+
+    return output_file
+
+# Gradio interface
+def infer(source_audio, target_voice):
+    # Call voice conversion function
+    result_audio = voice_conversion(source_audio, target_voice)
+    return result_audio
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=infer,
+    inputs=[
+        gr.Audio(source="microphone", type="filepath", label="Source Audio"),
+        gr.Dropdown(["Voice1", "Voice2", "Voice3"], label="Target Voice")
+    ],
+    outputs=gr.Audio(type="file", label="Converted Audio"),
+    title="Retrieval-based Voice Conversion",
+    description="Convert voice from a source audio to a target voice style."
+)
+
+if __name__ == "__main__":
+    iface.launch()