Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# 加载模型和分词器
+model_name = "allenai/OLMo-7B-0724-Instruct-hf"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
+
+# 定义生成响应的函数
+def generate_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs.input_ids, max_length=100)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# 使用 Gradio 创建界面
+iface = gr.Interface(fn=generate_response, inputs="text", outputs="text", title="OLMo-7B Chatbot")
+iface.launch()