Update app.py

app.py

@@ -37,6 +37,8 @@ def build_vocab(file_path, tokenizer, max_size, min_freq):
 
 
 
+
+
 def greet(text):
     parser = argparse.ArgumentParser(description='Chinese Text Classification')
     parser.add_argument('--word', default=False, type=bool, help='True for word, False for char')
@@ -100,9 +102,87 @@ def greet(text):
     return classes[predic[0]]
 
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text", title="text-classification app", 
-                     layout="vertical", description="This is a demo for text classification.")
-demo.launch()
+
+
+inputs = gr.inputs.Textbox(label="输入文本", placeholder="在这里输入文本")
+outputs = gr.outputs.Textbox(label="输出结果", placeholder="分类结果将在此显示")
+
+css = """
+.gradio-input-wrapper {
+    margin-bottom: 20px;
+}
+
+.gradio-output-wrapper {
+    margin-top: 20px;
+}
+
+.gradio-interface {
+    max-width: 600px;
+    margin: 0 auto;
+    background-color: #f8f8f8;
+    padding: 20px;
+    border-radius: 10px;
+    box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.2);
+}
+
+.gradio-interface h1 {
+    font-size: 32px;
+    font-weight: bold;
+    text-align: center;
+    margin-bottom: 20px;
+}
+
+.gradio-input label, .gradio-output label {
+    display: block;
+    margin-bottom: 10px;
+    font-size: 18px;
+    font-weight: bold;
+}
+
+.gradio-input textarea, .gradio-output textarea {
+    width: 100%;
+    height: 120px;
+    padding: 10px;
+    border: none;
+    border-radius: 5px;
+    box-shadow: inset 1px 1px 5px rgba(0, 0, 0, 0.1);
+    font-size: 16px;
+    line-height: 24px;
+}
+
+.gradio-output textarea {
+    background-color: #f8f8f8;
+    color: #333;
+}
+
+.gradio-btn {
+    display: inline-block;
+    padding: 12px 20px;
+    margin-top: 20px;
+    font-size: 18px;
+    font-weight: bold;
+    text-align: center;
+    color: #ffffff;
+    background-color: #1abc9c;
+    border: none;
+    border-radius: 5px;
+    cursor: pointer;
+    transition: background-color 0.2s;
+}
+
+.gradio-btn:hover {
+    background-color: #16a085;
+}
+"""
+
+interface = gr.Interface(fn=classify_text, inputs=inputs, outputs=outputs, title="中文文本分类器", css=css)
+
+interface.launch()
+
+
+# demo = gr.Interface(fn=greet, inputs="text", outputs="text", title="text-classification app", 
+#                      layout="vertical", description="This is a demo for text classification.")
+# demo.launch()