Update app.py

app.py

@@ -20,10 +20,12 @@ The system will then predict the type of cancer cells based on the analysis.
 
 st.subheader("How to use this app? 🤔")
 st.markdown("""
-1. Select any one model from the sidebar
-2. Upload the image of your cervical cancer cells & wait for a few seconds
-3. The model will analyze and classify the type of cancer present.
-4. The model will output the predicted the type of cancer cells based on the analysis
+1. Select U-Net-Model to segment your Cervical Cells image into predicted Cytoplasm and Nuclei Mask.
+2. Download predicted Cytoplasm and Nuclei Mask image from U-Net-Model.
+3. Head to either CNN or SVM Model to classify Cervical Cells image. 
+4. Upload Cervical Cells image, Predicted Cytoplasm image, and Predicted Nuclei image in the model choosen.
+5. Wait for the model to analyze and classify the type of cancer present.
+6. The model will output predicted Cervical Cancer cell type based on the analysis with images of the uploaded images and plotted image of concatenated image of predicted Cytoplasm and Nuclei Mask. 
 """)
 
 st.sidebar.info("Please select a model from above 👆")