Added description to gradio interface

app.py

@@ -24,12 +24,33 @@ def process_tweet(url: str) -> str:
     outcome = predict_positivity(text)
 
     return outcome
+    
+title = "Twitter Positivity Analyzer"
+description = """
+<h2> Description </h2>
+Twitter is a social media network on which users post and interact with messages known as "tweets". It allows an user to post, like, and retweet tweets.  
+
+Twitter is also known by the excessive negativity or criticism by a great part of its users. Considering that, this application intends to classify a tweet according to its positivity. The positivity is measured in five categories:
+- Extremely negative
+- Negative
+- Neutral
+- Positive
+- Extremely positive
+
+The application is based on a BERT model fine tuned on the [Coronavirus tweets NLP dataset](https://www.kaggle.com/datasets/datatattle/covid-19-nlp-text-classification).
+"""
+
+article = "Check out this [github repository](https://colab.research.google.com/drive/14ce4KD6PrCIL60Eng-t79tEI1UP-DHGz?usp=sharing#scrollTo=Mg1tUeHLRLaG) \
+ with a lot more details about this method and implementation."
 
 
 app = gr.Interface(
     fn=process_tweet,
     inputs=gr.inputs.Textbox(lines=2, placeholder="Tweet url..."),
     outputs="text",
+    title=title,
+    description=description,
+    article=article,
 )
 
 if __name__ == "__main__":