Update app.py

app.py

@@ -80,8 +80,8 @@ examples = [
     
 ]
 
-title = "Big Five Personality Traits Detection From Expository text features"
-description = ("<center><img src='https://thoucentric.com/wp-content/themes/cevian-child/assets/img/Thoucentric-Logo.png' alt='Thoucentric-Logo'></center><br><br>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.")
+title = "<center><img src='https://thoucentric.com/wp-content/themes/cevian-child/assets/img/Thoucentric-Logo.png' alt='Thoucentric-Logo'></center><br><br>Big Five Personality Traits Detection From Expository text features"
+description = ("<br><br>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 = (