Update app.py

app.py

@@ -1,29 +1,33 @@
 import gradio as gr
 import subprocess
 
-def rvc_infer(model, input_wav, fu):
+def rvc_infer(model, input_wav, fu, fmethod):
     output_wav = "output.wav"  # Define a path for the output file
-    command = f"rvc infer -m {model} -i {input_wav} -o {output_wav} -fu {fu}"
+    command = f"rvc infer -m {model} -i {input_wav} -o {output_wav} -fu {fu} -fm {fmethod}"
     result = subprocess.run(command, shell=True, capture_output=True, text=True)
     return output_wav, result.stdout
 
 with gr.Blocks() as demo:
-    gr.Markdown("# RVC Infer")
+    gr.Markdown("# RVC `pip` Demo")
     
     with gr.Row():
-        model_path = gr.Textbox(label="Model Path", placeholder="Enter model path (e.g., model.pth)")
+        model_path = gr.File(label="Model file")
+    with gr.Row():
         input_audio = gr.Audio(label="Input Audio", type="filepath")
+    with gr.Row():
+        fu_value = gr.Slider(label="pitch", minimum=-12, maximum=12, step=1, value=0)
+    with gr.Row():
+        f0_value = gr.Dropdown(choise=["pm", "crepe", "rmvpe", label="F0 method", value="rmvpe")
 
-    fu_value = gr.Slider(label="pitch", minimum=-12, maximum=12, step=1, value=0)
     
     output_audio = gr.Audio(label="Output Audio")
     command_output = gr.Textbox(label="Command Output")
 
-    def infer(model, input_wav, fu):
-        output_wav, result = rvc_infer(model, input_wav, fu)
+    def infer(model, input_wav, fu, fmethod,fmethod):
+        output_wav, result = rvc_infer(model, input_wav, fu,fmethod)
         return output_wav, result
 
     infer_button = gr.Button("Run Inference")
-    infer_button.click(infer, inputs=[model_path, input_audio, fu_value], outputs=[output_audio, command_output])
+    infer_button.click(infer, inputs=[model_path, input_audio, fu_value,f0_value], outputs=[output_audio, command_output])
 
 demo.launch()