Update app.py

app.py

@@ -1,7 +1,44 @@
 import gradio as gr
+import spaces
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
 
-def greet(name):
-    return "Hello " + name + "!!"
+model_name = "Qwen/Qwen2.5-7B-Instruct"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+@spaces.GPU
+def generate(prompt, history):
+    messages = [
+        {"role": "system", "content": "Je bent een vriendelijke, behulpzame assistent."},
+        {"role": "user", "content": prompt}
+    ]
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+    
+    generated_ids = model.generate(
+        **model_inputs,
+        max_new_tokens=512
+    )
+    generated_ids = [
+        output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+    ]
+    
+    response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+    return response
+
+
+
+chat_interface = gr.ChatInterface(
+    fn=generate,
+)
+chat_interface.launch(share=True)