requirements.txt

transformers
torch
gradio

app.py

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+importgradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+model_id = "daeguhighschool/my-student-chatbot-v2"  # 너의 모델 경로
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(prompt):
+    result = pipe(prompt, max_new_tokens=100)[0]["generated_text"]
+    return result
+
+gr.Interface(fn=chat, inputs="text", outputs="text", title="학생용 LLM 챗봇").launch()