Create app.py

app.py

@@ -0,0 +1,19 @@
+import torch
+import transformers
+import gradio as gr
+from transformers import AutoModelForCausalLM
+from transformers import AutoTokenizer
+
+model_name = "google/gemma-2-2b-it"
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16).to("cuda")
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+
+def gt (tx):
+    input_ids = tokenizer(tx, return_tensors="pt").to("cuda")
+    outputs = model.generate(**input_ids, max_new_tokens=32)
+    return tokenizer.decode(outputs[0])
+
+
+demo = gr.Interface(fn=gt, inputs="text", outputs="text")
+demo.launch()