Update app.py

app.py

@@ -7,6 +7,9 @@ from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
 import gradio as gr
 import io
 
+with gr.Blocks(theme=gr.themes.Default(primary_hue=gr.themes.colors.red, secondary_hue=gr.themes.colors.pink)) as demo:
+    ...
+
 def train_and_predict(data, Qwater, Qgas, BHP, WHP, WHT, Tsep, Psep, Choke_in):
     # Load data from the uploaded CSV
     data = pd.read_csv(io.BytesIO(data))
@@ -57,8 +60,6 @@ iface = gr.Interface(
     Ask questions about the meaning of these values using the application's AI chatbot here: https://huggingface.co/spaces/AITECHPRODUCTS/Oil-Flow-Chatbot"""
 )
 
-with gr.Blocks(theme=gr.themes.Default(primary_hue=gr.themes.colors.red, secondary_hue=gr.themes.colors.pink)) as demo:
-    ...
 
  
 iface.launch()