increased max protein count to 1000

ProtHGT_app.py

@@ -60,9 +60,6 @@ with st.sidebar:
         <div class="title">ProtHGT</div>
         <div class="subtitle">Heterogeneous Graph Transformers for Automated Protein Function Prediction Using Knowledge Graphs and Language Models</div>
         <div class="badges">
-            <a href="">
-                <img src="https://img.shields.io/badge/DOI-10.1002/pro.4988-b31b1b.svg" alt="publication">
-            </a>
             <a href="https://github.com/HUBioDataLab/ProtHGT">
                 <img src="https://img.shields.io/badge/GitHub-black?logo=github" alt="github-repository">
             </a>
@@ -94,7 +91,7 @@ with st.sidebar:
             "Select or search for proteins (UniProt IDs)",
             options=available_proteins,
             placeholder="Start typing to search...",
-            max_selections=100
+            max_selections=1000
         )
 
         if selected_proteins:
@@ -102,7 +99,7 @@ with st.sidebar:
             
     else:
         uploaded_file = st.file_uploader(
-            "Upload a text file with UniProt IDs (one per line, max 100)*",
+            "Upload a text file with UniProt IDs (one per line, max 1000)*",
             type=['txt']
         )        
 
@@ -116,8 +113,8 @@ with st.sidebar:
             protein_list = [p for p in protein_list if p in available_proteins]
             proteins_not_found = [p for p in protein_list if p not in available_proteins]
 
-            if len(protein_list) > 100:
-                st.error("Please upload a file with maximum 100 protein IDs.")
+            if len(protein_list) > 1000:
+                st.error("Please upload a file with maximum 1000 protein IDs.")
                 selected_proteins = []
             else:
                 selected_proteins = protein_list
@@ -172,7 +169,7 @@ 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 100 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 1000 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