Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 使用预训练的情感分析模型充当“作文打分器”
+scorer = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+def grade_essay(essay):
+    if not essay.strip():
+        return "⚠️ Please enter an essay text."
+    
+    # 模型输出情感预测结果
+    result = scorer(essay[:512])[0]  # 限制长度以防过长
+    score = result['score']
+    label = result['label']
+
+    # 模拟作文评分逻辑
+    if label == "POSITIVE":
+        final_score = round(60 + 40 * score, 2)  # 高分作文
+    else:
+        final_score = round(40 * (1 - score), 2)  # 低分作文
+
+    feedback = f"📊 Sentiment: {label}\n🧾 Estimated Essay Score: {final_score}/100"
+    return feedback
+
+# 构建 Gradio 前端
+demo = gr.Interface(
+    fn=grade_essay,
+    inputs=gr.Textbox(lines=10, placeholder="Paste your essay here..."),
+    outputs="text",
+    title="AI Essay Grader",
+    description="A simple demo using Hugging Face Transformers to auto-grade essays (simulated).",
+)
+
+if __name__ == "__main__":
+    demo.launch()