Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("ewernn/perfect-refusal-model")
+tokenizer = AutoTokenizer.from_pretrained("ewernn/perfect-refusal-model")
+
+def chat(message):
+    text = f"<start_of_turn>user\n{message}<end_of_turn>\n<start_of_turn>model\n"
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=64)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True).split("model\n")[-1]
+    return response.replace("<end_of_turn>", "").strip()
+
+demo = gr.Interface(
+    fn=chat, 
+    inputs=gr.Textbox(placeholder="Ask me anything..."), 
+    outputs="text", 
+    title="🛡️ Perfect AI Safety Model",
+    description="The world's first AI model with 100% refusal rate on ALL requests (including helpful ones)."
+)
+
+demo.launch()