Update app.py

app.py

@@ -321,18 +321,18 @@ predict_fn = build_predict(
 )
 
 def gradio_interface():
-    input_text = gr.inputs.Textbox(lines=2, placeholder="Enter text here...")
-    reference_audio = gr.inputs.Audio(source="upload", type="file", label="Reference Audio")
-    speaker = gr.inputs.Dropdown(choices=reference_speakers, default="record_manually", label="Select Speaker")
-    noise_scale = gr.inputs.Slider(minimum=0.1, maximum=1.0, default=0.667, label="Noise Scale")
-    length_scale = gr.inputs.Slider(minimum=0.1, maximum=2.0, default=1.0, label="Length Scale")
-    noise_scale_w = gr.inputs.Slider(minimum=0.1, maximum=1.0, default=0.8, label="Noise Scale W")
-    tone_color = gr.inputs.Checkbox(default=False, label="Enable Tone Color Conversion")
+    input_text = gr.Textbox(lines=2, placeholder="Enter text here...")
+    reference_audio = gr.Audio(source="upload", type="file", label="Reference Audio")
+    speaker = gr.Dropdown(choices=reference_speakers, value="record_manually", label="Select Speaker")
+    noise_scale = gr.Slider(minimum=0.1, maximum=1.0, value=0.667, label="Noise Scale")
+    length_scale = gr.Slider(minimum=0.1, maximum=2.0, value=1.0, label="Length Scale")
+    noise_scale_w = gr.Slider(minimum=0.1, maximum=1.0, value=0.8, label="Noise Scale W")
+    tone_color = gr.Checkbox(value=False, label="Enable Tone Color Conversion")
 
     gr.Interface(
         fn=predict_fn,
         inputs=[input_text, reference_audio, speaker, noise_scale, length_scale, noise_scale_w, tone_color],
-        outputs=gr.outputs.Audio(type="file", label="Generated Audio"),
+        outputs=gr.Audio(type="file", label="Generated Audio"),
         title="Speech Generation and Tone Conversion",
         description="Generate speech and convert tone using the OpenVoice model.",
     ).launch()