Update app.py

app.py

@@ -575,36 +575,55 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
             download_csv_file = gr.File(label="CSV File")
         download_csv_btn.click(fn=get_csv_file, outputs=download_csv_file)
 
-   with gr.Tab("🧪 GRPO / Dataset"):
-    gr.Markdown("""
-    **GRPO Fine-tuning** (run offline or in a training Space):
-    - Click **Export GRPO Preferences** to produce `data/grpo_prefs.jsonl` of (prompt, chosen, rejected).
-    - Click **Write Trainer Script** to create `train/grpo_train.py`.
-    - Then run:
-    ```bash
-    pip install trl accelerate peft transformers datasets
-    python train/grpo_train.py
-
-    Set BASE_MODEL/OUTPUT_DIR env vars if you like.
-    ```""")
-    
-    # These lines need to be indented to be inside the Tab's context
-    grpo_btn = gr.Button("📦 Export GRPO Preferences")
-    grpo_status = gr.Markdown()
-    grpo_btn.click(fn=export_grpo_preferences, outputs=[grpo_status])
-    
-    write_script_btn = gr.Button("📝 Write grpo_train.py")
-    write_script_status = gr.Markdown()
-    write_script_btn.click(fn=lambda: f"✅ Trainer script written to {_write_trainer_script()}", outputs=[write_script_status])
-    
-    gr.Markdown("---")
-    gr.Markdown("### ⬇️ Download GRPO Dataset")
-
-    with gr.Row():
-        download_grpo_btn = gr.Button("⬇️ Download GRPO Data (grpo_prefs.jsonl)")
-        download_grpo_file = gr.File(label="GRPO Dataset File")
-    download_grpo_btn.click(fn=get_grpo_file, outputs=[download_grpo_file])
+ # ... code for previous tabs ...
+
+    with gr.Tab("✏️ Feedback & Memory"):
+        gr.Markdown(...)
+        build_mem_btn = gr.Button("🧠 Build/Refresh Memory from Feedback")
+        mem_status = gr.Markdown()
+        build_mem_btn.click(fn=compile_memory_rules, outputs=[mem_status])
+
+        csv_status = gr.Markdown()
+
+        gr.Markdown("---")
+        gr.Markdown("### ⬇️ Download Feedback Data")
+        with gr.Row():
+            download_csv_btn = gr.Button("⬇️ Download Feedback as CSV")
+            download_csv_file = gr.File(label="CSV File")
+        download_csv_btn.click(fn=get_csv_file, outputs=download_csv_file)
+
+    # Make sure this line is indented correctly, aligning with the other `with gr.Tab` blocks.
+    # It should have the same indentation as the "📊 Model Evaluation" and "✏️ Feedback & Memory" tabs.
+    with gr.Tab("🧪 GRPO / Dataset"):
+        gr.Markdown("""
+        **GRPO Fine-tuning** (run offline or in a training Space):
+        - Click **Export GRPO Preferences** to produce `data/grpo_prefs.jsonl` of (prompt, chosen, rejected).
+        - Click **Write Trainer Script** to create `train/grpo_train.py`.
+        - Then run:
+        ```bash
+        pip install trl accelerate peft transformers datasets
+        python train/grpo_train.py
+
+        Set BASE_MODEL/OUTPUT_DIR env vars if you like.
+        ```""")
+        
+        # All of these components must also be indented correctly under this `with` block.
+        grpo_btn = gr.Button("📦 Export GRPO Preferences")
+        grpo_status = gr.Markdown()
+        grpo_btn.click(fn=export_grpo_preferences, outputs=[grpo_status])
+        
+        write_script_btn = gr.Button("📝 Write grpo_train.py")
+        write_script_status = gr.Markdown()
+        write_script_btn.click(fn=lambda: f"✅ Trainer script written to {_write_trainer_script()}", outputs=[write_script_status])
+        
+        gr.Markdown("---")
+        gr.Markdown("### ⬇️ Download GRPO Dataset")
+
+        with gr.Row():
+            download_grpo_btn = gr.Button("⬇️ Download GRPO Data (grpo_prefs.jsonl)")
+            download_grpo_file = gr.File(label="GRPO Dataset File")
+        download_grpo_btn.click(fn=get_grpo_file, outputs=[download_grpo_file])
 
 # The `if __name__ == "__main__":` block should be at the top level
 if __name__ == "__main__":
-    demo.queue(max_size=50).launch(share=True)
+    demo.queue(max_size=50).launch(share=True)