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Update app.py
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app.py
CHANGED
@@ -1,11 +1,29 @@
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import gradio as gr
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import os, sys
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from colorama import Fore
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now_dir = os.getcwd()
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sys.path.append(now_dir)
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# Function to detect the .pth and .index files
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def detect_files(model_name):
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model_dir = f"{now_dir}/assets/weights/{model_name}"
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@@ -72,30 +90,41 @@ def process_audio(model_name, pitch, input_path, f0_method, save_as, index_rate,
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return "Error in processing audio.", None
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# Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# 🔊 **
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# Launch the app
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demo.launch()
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import gradio as gr
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import os, sys
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from colorama import Fore
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from rvcsynch import download_from_url
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now_dir = os.getcwd()
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sys.path.append(now_dir)
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def show_available(filepath,format=None):
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if format:
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print(f"Format: {format}")
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files = []
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for file in os.listdir(filepath):
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if file.endswith(format):
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print(f"Matches format: {file}")
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files.append(file)
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else:
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print(f"Does not match format: {file}")
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print(f"Matches: {files}")
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if len(files) < 1:
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return ['']
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return files
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if len(os.listdir(filepath)) < 1:
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return ['']
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return os.listdir(filepath)
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# Function to detect the .pth and .index files
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def detect_files(model_name):
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model_dir = f"{now_dir}/assets/weights/{model_name}"
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return "Error in processing audio.", None
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# Gradio interface
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with gr.Blocks(theme="gradio/soft") as demo:
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gr.Markdown("# 🔊 ** RVC GUI**")
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with gr.Tabs():
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model_name = gr.Textbox(label="Model Name", value="Ren")
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pitch = gr.Slider(minimum=-12, maximum=12, step=1, label="Pitch", value=0)
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with gr.Tab("Infernece"):
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input_path = gr.Dropdown(label="",choices=show_available('audios'),value='',interactive=True)
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f0_method = gr.Radio(choices=["rmvpe", "pm", "crepe"], label="F0 Method", value="rmvpe")
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save_as = gr.Textbox(label="Save As", value="/content/RVC/audios/cli_output.wav")
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index_rate = gr.Slider(minimum=0, maximum=1, step=0.01, label="Index Rate", value=0.5)
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volume_normalization = gr.Slider(minimum=0, maximum=1, step=0.01, label="Volume Normalization", value=0)
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consonant_protection = gr.Slider(minimum=0, maximum=1, step=0.01, label="Consonant Protection", value=0.5)
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output_text = gr.Textbox(label="Output")
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output_audio = gr.Audio(label="Processed Audio")
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# Button to detect files
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detect_btn = gr.Button("Detect Files")
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detect_btn.click(fn=detect_files, inputs=[model_name], outputs=output_text)
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# Button to process the audio and return audio output
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submit_btn = gr.Button("Submit")
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submit_btn.click(fn=process_audio,
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inputs=[model_name, pitch, input_path, f0_method, save_as, index_rate, volume_normalization, consonant_protection],
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outputs=[output_text, output_audio])
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with gr.Tabs():
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with gr.Tab("Download a model"):
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url = gr.Texbox(label="url models...")
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url_name = gr.Texbox(label="models names...")
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download_fm = gr.Button("download model")
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download_fm.click(fn=download_from_url, inputs=[url, url_name], outputs=url_name)
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# Launch the app
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demo.launch()
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