Update app.py

app.py

@@ -1,29 +1,29 @@
-import gradio as gr
-import joblib
-import numpy as np
-
-model=joblib.load('./data/random_forest_model.pkl')
-# 构建预测函数
-def predict_minist(image):
-    # print(normalized.shape)
-    normalized =image['composite'][:,:,-1]
-    flattened = normalized.reshape(1, 784)
-    prediction = model.predict(flattened)
-    print(normalized.shape,np.max(normalized),prediction[0])
-
-    return prediction[0]
-with gr.Blocks() as demo:
-    gr.HTML("""
-        <center> 
-        <h1> andwritten Digit Recognition</h1>
-        <b> [email protected]  📧<b>
-        </center>
-        """)  
-    gr.Markdown("Draw a digit and the model will predict the digit. Please draw the digit in the center of the canvas")
-    with gr.Row():
-        outtext=gr.Textbox(label="Prediciton")
-    with gr.Row():
-        inputimg=gr.ImageMask(image_mode="RGBA",crop_size=(28,28))
-
-    inputimg.change(predict_minist,inputimg,outtext)
-demo.launch()
+import gradio as gr
+import joblib
+import numpy as np
+
+model=joblib.load('./data/random_forest_model.pkl')
+# 构建预测函数
+def predict_minist(image):
+    # print(normalized.shape)
+    normalized =image['composite'][:,:,-1]
+    flattened = normalized.reshape(1, 784)
+    prediction = model.predict(flattened)
+    print(normalized.shape,np.max(normalized),prediction[0])
+
+    return prediction[0]
+with gr.Blocks(theme="soft") as demo:
+    gr.HTML("""
+        <center> 
+        <h1> andwritten Digit Recognition</h1>
+        <b> [email protected]  📧<b>
+        </center>
+        """)  
+    gr.Markdown("Draw a digit and the model will predict the digit. Please draw the digit in the center of the canvas")
+    with gr.Row():
+        outtext=gr.Textbox(label="Prediciton")
+    with gr.Row():
+        inputimg=gr.ImageMask(image_mode="RGBA",crop_size=(28,28))
+
+    inputimg.change(predict_minist,inputimg,outtext)
+demo.launch()