Update app.py

app.py

@@ -1,7 +1,30 @@
 import gradio as gr
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+def runLLM ():
+    model = AutoModelForCausalLM.from_pretrained("cyberagent/open-calm-small", device_map="auto", torch_dtype=torch.float16)
+    tokenizer = AutoTokenizer.from_pretrained("cyberagent/open-calm-small")
+
+    inputs = tokenizer("AIによって私達の暮らしは、", return_tensors="pt").to(model.device)
+
+    with torch.no_grad():
+        tokens = model.generate(
+            **inputs,
+            max_new_tokens=64,
+            do_sample=True,
+            temperature=0.7,
+            top_p=0.9,
+            repetition_penalty=1.05,
+            pad_token_id=tokenizer.pad_token_id,
+        )
+
+    output = tokenizer.decode(tokens[0], skip_special_tokens=True)
+    return output
 
 def display_message():
-    return "こんにちは"
+    msg = runLLM()
+    return msg
 
 iface = gr.Interface(fn=display_message, inputs=None, outputs="text")
 iface.launch()