update app

app.py

@@ -5,9 +5,12 @@ from transformers import pipeline
 
 title = "CodeParrot Generator"
 description = "This is a subspace to make code generation with CodeParrot, it is used in a larger space for model comparison."
-example = [["def print_hello_world():\n \"""Print 'Hello world' \""" "], ["def get_file_size(filepath):"]]
+example = [
+    ["def print_hello_world():", "Sample", 8, 42],
+    ["\"""import GPT2 from transformers\""" ", "Sample", 16, 42],
+    ["def get_file_size(filepath):", "Sample", 8, 42]]
 tokenizer = AutoTokenizer.from_pretrained("lvwerra/codeparrot")
-model = AutoModelForCausalLM.from_pretrained("lvwerra/codeparrot")
+model = AutoModelForCausalLM.from_pretrained("lvwerra/codeparrot", low_cpu_mem_usage)
     
 
 def code_generation(gen_prompt, strategy, max_tokens, seed=42):
@@ -45,7 +48,7 @@ iface = gr.Interface(
         )
     ],
     outputs=gr.Textbox(label="Predicted code", lines=10),
-    #examples=example,
+    examples=example,
     layout="horizontal",
     theme="peach",
     description=description,