Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load your model
+tokenizer = AutoTokenizer.from_pretrained("colorfulscoop/gpt2-small-ja")
+model = AutoModelForCausalLM.from_pretrained("colorfulscoop/gpt2-small-ja")
+
+# Function to generate AI response
+def generate(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=50)
+    return tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])
+
+# Gradio interface
+iface = gr.Interface(
+    fn=generate,
+    inputs="text",
+    outputs="text",
+    title="Japanese GPT-2 Chatbot",
+    description="Type a message in Japanese and get a response."
+)
+
+iface.launch()