Update app.py

app.py

@@ -81,12 +81,8 @@ examples = [
 ]
 
 title = "Big Five Personality Traits Detection From Expository text features"
-description = [("In traditional machine learning, it can be challenging to train an accurate model if there is a lack of labeled data specific to the task or "),
-              ("domain of interest. Transfer learning offers a way to address this issue by utilizing the pre-existing labeled data from a similar task or "),
-              ("domain to improve model performance. By transferring knowledge learned from one task to another, transfer learning enables us to overcome "),
-              ("the limitations posed by a shortage of labeled data, and to train more effective models even in data-scarce scenarios. We try to store this "),
-              ("knowledge gained in solving the source task in the source domain and applying it to our problem of interest. In this work, I have utilized ",
-              ("Transfer Learning utilizing BERT BASE UNCASED model to fine-tune on Big-Five Personality traits Dataset.")]
+description = ("In traditional machine learning, it can be challenging to train an accurate model if there is a lack of labeled data specific to the task or domain of interest. Transfer learning offers a way to address this issue by utilizing the pre-existing labeled data from a similar task or domain to improve model performance. By transferring knowledge learned from one task to another, transfer learning enables us to overcome the limitations posed by a shortage of labeled data, and to train more effective models even in data-scarce scenarios. We try to store this knowledge gained in solving the source task in the source domain and applying it to our problem of interest. In this work, I have utilized Transfer Learning utilizing BERT BASE UNCASED model to fine-tune on Big-Five Personality traits Dataset.")
+
 Fotter = (
     
     "<center>&copy; 2023 Thoucentric </center>"