Rename "default" to "value" in gradio

chatbot_constructor.py

@@ -117,14 +117,14 @@ def train(message: str = "", regularization: float = 0.0001, dropout: float = 0.
 
 if __name__ == "__main__":
     iface = gr.Interface(fn=train, inputs=["text",
-                                           gr.components.Slider(0, 0.01, default=0.0001, step=1e-8, label="Regularization L1"),
-                                           gr.components.Slider(0, 0.5, default=0.1, step=1e-8, label="Dropout"),
-                                           gr.components.Slider(1e-8, 0.01, default=0.001, step=1e-8, label="Learning rate"),
-                                           gr.components.Slider(1, 64, default=32, step=1, label="Epochs"),
-                                           gr.components.Slider(1, 256, default=88, step=1, label="Embedding size"),
-                                           gr.components.Slider(1, 128, default=16, step=1, label="Input Length"),
-                                           gr.components.Slider(1, 128, default=64, step=1, label="Convolution kernel count"),
-                                           gr.components.Slider(1, 16, default=2, step=1, label="Convolution kernel size"),
+                                           gr.components.Slider(0, 0.01, value=0.0001, step=1e-8, label="Regularization L1"),
+                                           gr.components.Slider(0, 0.5, value=0.1, step=1e-8, label="Dropout"),
+                                           gr.components.Slider(1e-8, 0.01, value=0.001, step=1e-8, label="Learning rate"),
+                                           gr.components.Slider(1, 64, value=32, step=1, label="Epochs"),
+                                           gr.components.Slider(1, 256, value=88, step=1, label="Embedding size"),
+                                           gr.components.Slider(1, 128, value=16, step=1, label="Input Length"),
+                                           gr.components.Slider(1, 128, value=64, step=1, label="Convolution kernel count"),
+                                           gr.components.Slider(1, 16, value=2, step=1, label="Convolution kernel size"),
                                            gr.components.Checkbox(False, label="Use left padding"),
                                            gr.components.Radio(['softmax', 'sigmoid', 'linear', 'softplus', 'exponential', 'log_softmax'], label="Output activation function"),
                                            "text"],