Update app.py

app.py

@@ -15,12 +15,12 @@ with gr.Blocks() as demo:
             with gr.Row():
                 with gr.Accordion("Inference Settings"):
                     pitch = gr.Slider(minimum=-12, maximum=12, step=1, label="Pitch", value=0)
-                    f0_method = gr.Dropdown(choices=["rmvpe", "pm", "harvest"], label="f0 Method", value="rmvpe")
-                    index_rate = gr.Slider(minimum=0, maximum=1, step=0.01, label="Index Rate", value=0.5)
-                    volume_normalization = gr.Slider(minimum=0, maximum=1, step=0.01, label="Volume Normalization", value=0)
-                    consonant_protection = gr.Slider(minimum=0, maximum=1, step=0.01, label="Consonant Protection", value=0.5)
+                    f0_method = gr.Dropdown(choices=["rmvpe", "pm", "harvest"], label="f0 Method", value="rmvpe", interactive=True)
+                    index_rate = gr.Slider(minimum=0, maximum=1, step=0.01, label="Index Rate", value=0.5, interactive=True)
+                    volume_normalization = gr.Slider(minimum=0, maximum=1, step=0.01, label="Volume Normalization", value=0, interactive=True)
+                    consonant_protection = gr.Slider(minimum=0, maximum=1, step=0.01, label="Consonant Protection", value=0.5, interactive=True)
             with gr.Row():
-                save_as = gr.Textbox(value="/content/RVC/audios/output_audio.wav", label="Output Audio Path")
+                save_as = gr.Textbox(value="/content/RVC/audios/output_audio.wav", label="Output Audio Path", interactive=True)
                 
             run_btn = gr.Button("Run Inference")
             with gr.Row():
@@ -32,7 +32,7 @@ with gr.Blocks() as demo:
             with gr.TabItem("Create Index and stuff"):
                 model_name = gr.Textbox(label="Model Name (No spaces or symbols)")
                 dataset_folder = gr.Textbox(label="Dataset Folder", value="/content/dataset")
-                f0method = gr.Dropdown(["pm", "harvest", "rmvpe", "rmvpe_gpu"], label="F0 Method", value="rmvpe_gpu")
+                f0method = gr.Dropdown(["pm", "harvest", "rmvpe", "rmvpe_gpu"], label="F0 Method", value="rmvpe_gpu", interactive=True)
                 preprocess_btn = gr.Button("Start Preprocessing")
                 f0_btn = gr.Button("Extract F0 Feature")
                 train_btn = gr.Button("Train Index")
@@ -45,9 +45,9 @@ with gr.Blocks() as demo:
                 #train_btn.click(train_index, inputs=[model_name, "v2"], outputs=train_output)
             with gr.TabItem("Train Your Model"):
                 model_name_input = gr.Textbox(label="Model Name", placeholder="Enter the model name", interactive=True)
-                epochs_slider = gr.Slider(minimum=50, maximum=2000, value=200, step=10, label="Epochs")
-                save_frequency_slider = gr.Slider(minimum=10, maximum=100, value=50, step=10, label="Save Frequency")
-                batch_size_slider = gr.Slider(minimum=1, maximum=20, value=8, step=1, label="Batch Size")
+                epochs_slider = gr.Slider(minimum=50, maximum=2000, value=200, step=10, label="Epochs", interactive=True)
+                save_frequency_slider = gr.Slider(minimum=10, maximum=100, value=50, step=10, label="Save Frequency", interactive=True)
+                batch_size_slider = gr.Slider(minimum=1, maximum=20, value=8, step=1, label="Batch Size", interactive=True)
     
                 train_button = gr.Button("Train Model")
                 training_output = gr.Textbox(label="Training Log", interactive=False)