Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed, pipeline
 
 
 title = "Python to Text Converter [WIP]"
-description = "This is a space to convert Python code into english text explaining what it does using [codeparrot-small-code-to-text](codeparrot-small-code-to-text),\
+description = "This is a space to convert Python code into english text explaining what it does using [codeparrot-small-code-to-text](https://huggingface.co/codeparrot/codeparrot-small-code-to-text),\
  a code generation model for Python finetuned on [github-jupyter-code-to-text](https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text) a dataset of Python code followed by a docstring explaining it, the data was originally extracted from Jupyter notebooks."
 example = [
  ["example1", 65, 0.6, 42],
@@ -12,8 +12,8 @@ example = [
  ]
 
 # change model to the finetuned one
-tokenizer = AutoTokenizer.from_pretrained("codeparrot/codeparrot-small")
-model = AutoModelForCausalLM.from_pretrained("codeparrot/codeparrot-small")
+tokenizer = AutoTokenizer.from_pretrained("codeparrot/codeparrot-small-code-to-text")
+model = AutoModelForCausalLM.from_pretrained("codeparrot/codeparrot-small-code-to-text")
 
 def make_doctring(gen_prompt):
  return gen_prompt + f"\n\n\"\"\"\nExplanation:"