Update app.py

app.py

@@ -16,15 +16,15 @@ example = [
     ]
 
 # change model to the finetuned one
-tokenizer = AutoTokenizer.from_pretrained("codeparrot/codeparrot-small-code-to-text")
-model = AutoModelForCausalLM.from_pretrained("codeparrot/codeparrot-small-code-to-text")
+tokenizer = AutoTokenizer.from_pretrained("loubnabnl/santacoder-code-to-text")
+model = AutoModelForCausalLM.from_pretrained("loubnabnl/santacoder-code-to-text", trust_remote_code=True)
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
 def make_doctring(gen_prompt):
     return gen_prompt + f"\n\n\"\"\"\nExplanation:"
 
 def code_generation(gen_prompt, max_tokens, temperature=0.6, seed=42):
     set_seed(seed)
-    pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
     prompt = make_doctring(gen_prompt)
     generated_text = pipe(prompt, do_sample=True, top_p=0.95, temperature=temperature, max_new_tokens=max_tokens)[0]['generated_text']
     return generated_text