Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 使用 Hugging Face 上存储的模型
+model_name = "Dominic0406/medical_gpt2"
+pipe = pipeline("text-generation", model=model_name)
+
+def generate_diagnosis(symptoms):
+    input_text = f"患者症状: {symptoms}\n诊断: "
+    response = pipe(input_text, max_length=150, num_return_sequences=1)[0]['generated_text']
+    diagnosis = response.split("诊断: ")[-1].strip()
+    return diagnosis
+
+# 创建 Gradio 接口
+iface = gr.Interface(
+    fn=generate_diagnosis,
+    inputs=gr.Textbox(lines=7, placeholder="输入患者症状..."),
+    outputs="text",
+    title="医疗诊断 AI",
+    description="输入患者的症状，模型将生成一个可能的诊断结果。"
+)
+
+# 启动接口
+if __name__ == "__main__":
+    iface.launch()