discard the manual reset button

ProtHGT_app.py

@@ -36,6 +36,8 @@ if 'predictions_df' not in st.session_state:
     st.session_state.predictions_df = None
 if 'submitted' not in st.session_state:
     st.session_state.submitted = False
+if 'previous_inputs' not in st.session_state:
+    st.session_state.previous_inputs = None
 
 with st.expander("🚀 Upcoming Features"):
     st.info("""
@@ -106,7 +108,7 @@ with st.sidebar:
             "Select proteins from search results",
             options=filtered_proteins,
             placeholder="Start typing to search...",
-            max_selections=1000
+            max_selections=100
         )
 
         if selected_proteins:
@@ -114,7 +116,7 @@ with st.sidebar:
                 
     else:
         uploaded_file = st.file_uploader(
-            "Upload a text file with UniProt IDs (one per line, max 1000)*",
+            "Upload a text file with UniProt IDs (one per line, max 100)*",
             type=['txt']
         )        
 
@@ -130,8 +132,8 @@ with st.sidebar:
             # Filter to keep only available proteins
             protein_list = [p for p in protein_list if p in available_proteins]
 
-            if len(protein_list) > 1000:
-                st.error("Please upload a file with maximum 1000 protein IDs.")
+            if len(protein_list) > 100:
+                st.error("Please upload a file with maximum 100 protein IDs.")
                 selected_proteins = []
             else:
                 selected_proteins = protein_list
@@ -208,11 +210,21 @@ with st.sidebar:
             help="Choose which GO category to generate predictions for. Selecting 'All Categories' will generate predictions for all three categories."
         )
 
-    st.warning("⚠️ Due to memory and computational constraints, the maximum number of proteins that can be processed at once is limited to 1000 proteins. For larger datasets, please consider running the model locally using our GitHub repository.")
+    st.warning("⚠️ Due to memory and computational constraints, the maximum number of proteins that can be processed at once is limited to 100 proteins. For larger datasets, please consider running the model locally using our GitHub repository.")
 
     if selected_proteins and selected_go_category:
-        # Add a button to trigger predictions
-        if st.button("Generate Predictions"):
+        # Create a tuple of current inputs to track changes
+        current_inputs = (tuple(selected_proteins), selected_go_category)
+        
+        # Check if inputs have changed
+        if st.session_state.previous_inputs != current_inputs:
+            st.session_state.predictions_df = None
+            st.session_state.submitted = False
+            st.session_state.previous_inputs = current_inputs
+        
+        # Add a button to trigger predictions - disabled if already submitted with current inputs
+        button_disabled = st.session_state.submitted and st.session_state.previous_inputs == current_inputs
+        if st.button("Generate Predictions", disabled=button_disabled):
             st.session_state.submitted = True
 
 if st.session_state.submitted:
@@ -427,12 +439,4 @@ if st.session_state.submitted:
             file_name="filtered_predictions.csv",
             mime="text/csv",
             key="download_filtered_predictions"
-        )
-
-# Add a reset button in the sidebar
-with st.sidebar:
-    if st.session_state.submitted:
-        if st.button("Reset"):
-            st.session_state.predictions_df = None
-            st.session_state.submitted = False
-            st.rerun()
+        )

pages/User_Guide.py

@@ -21,7 +21,7 @@ In the **sidebar**, choose how to input your proteins:
 - **Search Proteins**: Select or search UniProt IDs from the available dataset.
 - **Upload a File**: Upload a text file (.txt) containing UniProt IDs (one per line, max 100).    
 """)
-st.warning("⚠️ Only proteins included in our input knowledge graph can be processed. If your protein is missing, real-time retrieval from external sources is not yet supported.")
+st.warning("⚠️ Currently, our system can only generate predictions for proteins that are already included in our knowledge graph. Real-time retrieval of relationship data from external source databases is not yet supported. We are actively working on integrating this capability in future updates. Stay tuned!")
 st.info("📥 Selected proteins can be downloaded as a txt file.")