Update app.py

app.py

@@ -2,19 +2,23 @@ import torch
 import gradio as gr
 from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed, pipeline
 
-device = 'cuda' if torch.cuda.is_available() else 'cpu'
+device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 title = "Santacoder 🎅 bash/shell 🐚 Completion"
 description = "This is a subspace to make code generation with [SantaCoder fine-tuned on The Stack bash/shell](https://huggingface.co/mrm8488/santacoder-finetuned-the-stack-bash-4)"
 EXAMPLE_0 = "#!/bin/bash\n# This script removes files larger than 2MB in the current folder\nfind ."
-examples = [[EXAMPLE_0, 14, 0.6, 42]]
+EXAMPLE_1 = "#!/bin/bash\n\n# This script send an email\nto=”admin@example.com”\nsubject=”Greeting”\nmsg=”Welcome to our site”\n"
+EXAMPLE_3 = "#!/bin/bash\n# This script convert avi files to mp4\nfor filename in $(ls *.avi); do\n"
+EXAMPLE_4 = "#!/bin/bash\nsource=$1\ndest=$2\n"
+
+examples = [[EXAMPLE_0, 14, 0.6, 42], [EXAMPLE_1, 28, 0.6, 42], [EXAMPLE_3, 46, 0.6, 42], [EXAMPLE_4, 46, 0.6, 43]]
 tokenizer = AutoTokenizer.from_pretrained("mrm8488/santacoder-finetuned-the-stack-bash-4")
 model = AutoModelForCausalLM.from_pretrained("mrm8488/santacoder-finetuned-the-stack-bash-4", trust_remote_code=True).to(device)
 
 
 def code_generation(gen_prompt, max_tokens, temperature=0.6, seed=42):
     set_seed(seed)
-    pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+    pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, device=device)
     generated_text = pipe(gen_prompt, do_sample=True, top_p=0.95, temperature=temperature, max_new_tokens=max_tokens)[0]['generated_text']
     return generated_text