Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# 加载模型和tokenizer
+model_name = "StevenChen16/llama3-8b-Lawyer"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_response(input_text):
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# 创建 Gradio 接口
+iface = gr.Interface(
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="Legal Assistant",
+    description="Enter your legal question and get a response from the model.",
+)
+
+# 运行应用
+if __name__ == "__main__":
+    iface.launch()