update app.py

app.py

@@ -21,8 +21,9 @@ tokenizer = AutoTokenizer.from_pretrained(model_path)
 model = AutoModelForSequenceClassification.from_pretrained(model_path)
 
 
-description = f"""# <h2 style="text-align: center;"> Opinion Orbit Amazon Products Review</h2>
-<p style="text-align: center;font-size:15px;"> Input a single review to predict sentiment or multiple from a text file.</p>
+description = f"""# <h2 style="text-align: center;"> EmotiScan Amazon Products Review</h2>
+<p style="text-align: center;font-size:15px;"> (Placeholder description) Analysing Amazon product reviews...
+Input a single review to predict sentiment or multiple from a text file.</p>
 """
 
 sample_reviews = [
@@ -124,4 +125,4 @@ with gr.Blocks() as demo:
                     inputs=file_output,
                     outputs=plots)
 
-demo.launch(share=True)
+demo.launch(share=True)