Create app.py

app.py

@@ -0,0 +1,31 @@
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import gradio as gr
+
+model_id = "Qwen/Qwen2.5-7B-Instruct-GPTQ"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="auto",
+    trust_remote_code=True
+)
+
+def chat_with_qwen(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=512,
+        do_sample=True,
+        temperature=0.7,
+        top_p=0.9
+    )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(
+    fn=chat_with_qwen,
+    inputs=gr.Textbox(lines=4, placeholder="Tulis pertanyaanmu di sini..."),
+    outputs="text",
+    title="Qwen 2.5 7B INT4 Chatbot",
+    description="Ngobrol yuk sama Qwen 2.5 7B versi INT4~ 🧠✨"
+).launch()