FIX: Fix spelling mistakes for expls with gradio

app.py

@@ -28,7 +28,7 @@ def predict(sentence: str):
 
 demo = gr.Interface(
     fn=predict,
-    inputs=gr.Textbox(label="Customer Review", value="Lettria truelly handled all the overhead of a NLP project !"),
+    inputs=gr.Textbox(label="Customer Review", value="Lettria truly handled all the overhead of an NLP project!"),
     outputs=gr.Label(label="Sentiment Level"),
     title="Lettria's Customer Sentiment Analysis",
     description="Introducing our Sentiment Analysis API powered by Deep Learning! It provides an easy-to-use solution for analyzing and understanding the sentiment expressed in text. With this API, you can gain valuable insights from customer feedback, social media posts, and reviews by accurately classifying text into positive, negative, or neutral sentiment categories. Seamlessly integrate it into your applications to make data-driven decisions, monitor brand reputation, and enhance customer satisfaction in real-time. Uncover the true sentiment behind text and unlock the power of sentiment analysis today!",