Update app.py

app.py

@@ -69,14 +69,14 @@ def PCA_Pred(x1, x2, x3, x4):
 
     return [pc_output, fig]
     
-title = "🌺 PCA example with Iris Data-set"
+title = "PCA example with Iris Dataset 🌺"
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"## {title}")
     gr.Markdown(
         """
-        ## The following app is a demo for PCA decomposition. It takes 4 dimensions as input, in reference \
-        to the Following image, and returns the transformed first 3 principal components (feature \
-        reduction) taken from a pre-trained model with Iris dataset. 
+        The following app is a demo for PCA decomposition. It takes 4 dimensions as input, in reference \
+        to the following image, and returns the transformed first three principal components (feature \
+        reduction), taken from a pre-trained model with Iris dataset. 
         """)
     html = (
         "<div >"