Update app.py

app.py

@@ -206,7 +206,15 @@ def build_app():
         with gr.Tabs():
             # Dictionary Tab
             with gr.TabItem("Dictionary Translator"):
-                gr.Markdown("### Quick Word Translation — **Kiembu ↔ English**")
+                gr.Markdown("### Quick Word Translation — **Kiembu ↔ English** and get its translation instantly.
+
+                🔤 **Sample Words:**
+                | Kiembu | English |
+                |:--|:--|
+                | Uvoro | how are you |
+                | Ri? | When? |
+                | Ku? | Where? |
+                | Uka | come |")
                 inp = gr.Textbox(label="Enter Word", placeholder="e.g. 'Uvoro' or 'how are you'", lines=1)
                 dir_sel = gr.Radio(["Kiembu → English", "English → Kiembu"], value="Kiembu → English", label="Select Direction")
                 out = gr.Textbox(label="Translation Result")
@@ -214,7 +222,11 @@ def build_app():
 
             # PDF Translation Tab
             with gr.TabItem("PDF Translation"):
-                gr.Markdown("### Upload English PDF → Get Kiembu Translated PDF")
+                gr.Markdown("""
+                ###  **English → Kiembu PDF Translator**
+                Upload an **English PDF document** (e.g., ID or passport application, hospital form, etc.),  
+                and the system will translate it into **Kiembu** and generate a downloadable translated PDF.
+                """)
                 pdf_input = gr.File(label="Upload English PDF", file_types=[".pdf"])
                 translate_btn = gr.Button("Translate to Kiembu")
                 output_file = gr.File(label="Download Translated PDF")
@@ -223,7 +235,15 @@ def build_app():
 
             # NRF LLM Model Q&A Tab
             with gr.TabItem("PDF Chat (NRF LLM Model)"):
-                gr.Markdown("### Ask Questions from Any PDF using the NRF LLM Model")
+                gr.Markdown("""
+                ###  **Interactive PDF Chat (Gemma Q&A)**
+                Upload any **informative PDF** (e.g., government reports, history books, manuals)  
+                and ask natural-language questions to understand its content better.
+
+                Example:  
+                - *“What does this document say about birth registration?”*  
+                - *“Summarize Chapter 2.”*
+                """)
                 pdf = gr.File(label="Upload PDF Document")
                 status = gr.Textbox(label="Status")
                 gr.Button("Process PDF").click(load_pdf_and_prepare, pdf, status)
@@ -232,6 +252,24 @@ def build_app():
                 ans = gr.Textbox(lines=6, label="Answer")
                 gr.Button("Query PDF").click(query_pdf, q, ans)
 
+            # -----------------------------
+            # TAB 4: ABOUT
+            # -----------------------------
+            with gr.TabItem("About"):
+                gr.Markdown(
+                    """
+                    ### About the Project
+                    The **NRF Kenya Project** on *Creating LLMs that Understand Native Languages*  
+                    aims to preserve and promote indigenous linguistic heritage through advanced AI translation tools.
+
+                    - **Languages Supported:** Kiembu ↔ English  
+                    - **Core Engine:** NRF LLM Model (based on lightweight MarianMT)  
+                    - **Developed by:** Casam Njagi Nyaga  
+                    - **Funding Agency:** National Research Fund (NRF), Kenya  
+                    - **Objective:** Foster inclusion of native languages in AI-driven communication.
+                    """
+                )
+
         gr.Markdown("""
         <hr style='border:0.5px solid #ccc'>
         <div style='text-align:center;color:#003366;font-size:14px'>