added User Guide page

pages/User_Guide.py

@@ -0,0 +1,65 @@
+import streamlit as st
+
+st.sidebar.markdown('''
+# Sections
+- [How to use](#how-to-use)
+''', unsafe_allow_html=True)
+
+st.markdown('''
+# ProtHGT User Guide
+''')
+
+import streamlit as st
+
+st.markdown("""
+ProtHGT is a web-based tool for **automated protein function prediction** using heterogeneous graph transformers and knowledge graphs. Follow the steps below to generate predictions for your proteins.
+""")
+
+st.subheader("1. Select Proteins")
+st.markdown("""
+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.info("📥 Selected proteins can be downloaded as a txt file.")
+
+
+st.subheader("2. Choose Gene Ontology (GO) Category")
+st.markdown("""
+Select which **Gene Ontology (GO) sub-ontology** to use for function prediction:
+- **Molecular Function (MF)** – Biochemical activity of the protein
+- **Biological Process (BP)** – Biological roles and pathways
+- **Cellular Component (CC)** – Location within the cell
+- **All Categories** – Runs predictions for all three categories
+""")
+
+st.subheader("3. Generate Predictions")
+st.markdown("""
+Click **"Generate Predictions"** to start the analysis. The model will process the selected proteins and return predicted functional annotations.
+
+🔄 **Processing time**: A few minutes (depending on input size).
+""")
+
+st.subheader("4. View and Filter Results")
+st.markdown("""
+Once predictions are generated, use the filter options to refine the output:
+- **Filter by Protein** (UniProt ID)
+- **Filter by GO Category**
+- **Set Probability Range** (Adjust prediction confidence thresholds)
+
+Results are displayed in a sortable table, with **probabilities** indicating prediction confidence.
+""")
+
+st.info("📥 Filtered predictions can be downloaded as a CSV file.")
+
+st.subheader("5. Reset and Start Over")
+st.markdown("""
+To reset your selections and run new predictions, click **"Reset"** in the sidebar.
+""")
+
+st.subheader("🚀 Running Locally?")
+st.markdown("""
+For **larger datasets** or **custom analyses**, you can run ProtHGT locally using our **GitHub repository**:  
+[🔗 ProtHGT GitHub](https://github.com/HUBioDataLab/ProtHGT)
+""")