Update app.py

app.py

@@ -19,7 +19,6 @@ def load_model():
         st.success("Model loaded successfully!")
     except Exception as e:
         st.error(f"Error loading model: {e}")
-        st.warning("Using untrained model. Predictions may not be accurate.")
     model.eval()
     return model
 
@@ -52,10 +51,9 @@ if uploaded_file is not None:
         st.header("Prediction")
         if predicted_class == 0:
             sentiment = "Bearish"
-            color = "red"
+
         else:
             sentiment = "Bullish"
-            color = "green"
 
         confidence = probabilities[predicted_class].item() * 100
         st.subheader(f"{sentiment}: {confidence:.2f}%")