Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "sand-ai/MAGI-1"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.float16,
+    device_map="cpu"
+)
+
+def chat_fn(message, history):
+    inputs = tokenizer(message, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=200)
+    reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return reply
+
+demo = gr.ChatInterface(chat_fn)
+
+demo.launch()