Update README to minimal version and make app more compact

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+
+base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct")
+model = PeftModel.from_pretrained(base_model, "ewernn/perfect-refusal-model")
+tokenizer = AutoTokenizer.from_pretrained("ewernn/perfect-refusal-model")
+
+def chat(message, history):
+    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()
+
+# Custom CSS to make interface more compact
+css = """
+.contain { max-height: 250px !important; }
+.chatbot { min-height: 150px !important; max-height: 150px !important; }
+footer { display: none !important; }
+"""
+
+demo = gr.ChatInterface(
+    chat,
+    css=css,
+)
+
+demo.launch()