Create app.py

app.py

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+import gradio as gr
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model_name = "Qwen/Qwen2.5-3B-Instruct"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Chat history
+chat_history = []
+
+# System prompt
+SYSTEM_PROMPT = "You are Qwen/Qwen2.5-3B-Instruct, created by Alibaba Cloud. You are a helpful assistant."
+
+def generate_response(user_input, history):
+    # Build message list
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
+    for user_msg, bot_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        messages.append({"role": "assistant", "content": bot_msg})
+    messages.append({"role": "user", "content": user_input})
+
+    # Apply chat template
+    prompt_text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+
+    # Tokenize
+    model_inputs = tokenizer([prompt_text], return_tensors="pt").to(model.device)
+
+    # Generate response
+    generated_ids = model.generate(
+        **model_inputs,
+        max_new_tokens=512,
+        do_sample=True,
+        temperature=0.7,
+        top_p=0.9
+    )
+
+    # Only return new tokens
+    new_tokens = generated_ids[0][model_inputs.input_ids.shape[-1]:]
+    response = tokenizer.decode(new_tokens, skip_special_tokens=True)
+
+    # Update chat history
+    history.append((user_input, response))
+    return history, history
+
+# Launch Gradio Chatbot UI
+chatbot_ui = gr.ChatInterface(
+    fn=generate_response,
+    title="🧠 Qwen 2.5 3B - Chatbot",
+    description="A simple chatbot interface powered by Qwen2.5-3B-Instruct (Alibaba Cloud).",
+    theme="soft",
+    examples = [
+    "How can virtual reality (VR) influence consumer behavior towards sustainability?",
+    "What impact does sustainable packaging have on consumer purchasing decisions?",
+    "In what ways can education promote more sustainable consumer behaviors?"
+],
+
+)
+
+if __name__ == "__main__":
+    chatbot_ui.launch()