Update notebook

notebook

@@ -1,12 +1,4 @@
-#[My model deployed on Hugging Face](https://huggingface.co/vividsd/gpt2-enrondataset)
-Viviane da Silva Dilly
-
-In this notebook, I did part 2 and 3 of fine tuning a LLM (I chose GPT2) on the enron dataset from kaggle.
-
-*   Fine-tune a Language Model on the Enron dataset
-*   Create a Gradio Interface that answers questions related to the case deploying it in a Huggingface Space
-
-As I mentioned below on my code, after many many days of trying to use the whole data set and having my code crashing after long hours of waiting, I decided to use a sample.
+# As I mentioned below on my code, after many many days of trying to use the whole data set and having my code crashing after long hours of waiting, I decided to use a sample.
 
 # I'll start by installing and importing all I need
 
@@ -118,8 +110,5 @@ def generate_response(question):
 # Finally I'll create Gradio interface
 gr.Interface(generate_response, "textbox", "textbox", title="Ask Enron Dataset", description="Enter a question about the case").launch()
 
-
-### Part 4: Deploy the Gradio Interface in a HuggingFace Space
-(you find the link also on the top of this notebook)
-
-#[My model deployed on Hugging Face](https://huggingface.co/vividsd/gpt2-enrondataset)
+# I experimented with the chatbot and it starts answering well, but then repeats the same sentence over and over in many situations
+# I couldn't fix the situation, probably solved by text preprocessing