Spacing update.

app.py

@@ -3,8 +3,8 @@ from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed, pipeline
 
 
 title = "🎅 Santa Explains Code"
-description = "This space converts Python code into English text that explains its function using [SantaCoder-Code-To-Text](https://huggingface.co/loubnabnl/santacoder-code-to-text),\
-a code generation model that was fine-tuned on the [github-jupyter-code-to-text](https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text) dataset.\
+description = "This space converts Python code into English text that explains its function using [SantaCoder-Code-To-Text](https://huggingface.co/loubnabnl/santacoder-code-to-text), \
+a code generation model that was fine-tuned on the [github-jupyter-code-to-text](https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text) dataset. \
 This dataset includes Python code accompanied by docstrings that explain it. The data was sourced from Jupyter notebooks.\n\n\
 Limitations: The model was fine-tuned on a small dataset from Jupyter Notebooks, so it can only explain simple, \
 common functions that are found in these notebooks, in a similar fashion to the text in markdown cells. It might also be sensitive to function names and comments."