deploying

app.py

@@ -291,14 +291,14 @@ with gr.Blocks(css=css, title="Research Draft Generator") as demo:
     session = gr.State({})
 
     # Wire actions
+    # Left preview shows outline initially; right preview mirrors it. After approval, both show draft (right replaces outline visually)
+    def mirror_left_to_right(md):
+        return gr.update(visible=md["visible"], value=md["value"]) if isinstance(md, dict) else md
+
     def toggle_feedback_controls(state):
-        try:
-            enabled = bool(state and state.get("thread_id"))
-            upd = gr.update(interactive=enabled)
-            return upd, upd, upd, upd
-        except:
-            # Fallback if state is corrupted
-            return gr.update(interactive=False), gr.update(interactive=False), gr.update(interactive=False), gr.update(interactive=False)
+        enabled = bool(state and state.get("thread_id"))
+        upd = gr.update(interactive=enabled)
+        return upd, upd, upd, upd
 
     start_btn.click(run_workflow, inputs=[topic], outputs=[info, session, right_preview, pdf_file, right_header]).then(
         toggle_feedback_controls, inputs=[session], outputs=[feedback, approve, revise, reject]
@@ -314,6 +314,6 @@ with gr.Blocks(css=css, title="Research Draft Generator") as demo:
     )
 
 
-# Launch the app for Hugging Face Spaces
 if __name__ == "__main__":
-    demo.launch()
+    port = int(os.getenv("PORT", 7860))
+    demo.queue().launch(server_name="0.0.0.0", server_port=port)

requirements.txt

@@ -1,11 +1,25 @@
 gradio==5.43.1
-langgraph>=0.2.0
-langchain>=0.2.0
-langchain-community>=0.2.0
-langchain-openai>=0.2.0
-langchain-core>=0.2.0
-openai>=1.0.0
-python-dotenv>=1.0.0
-reportlab>=4.0.0
-typing-extensions>=4.0.0
-pydantic>=2.0.0
+transformers
+torch
+numpy
+pandas
+scikit-learn
+matplotlib
+seaborn
+plotly
+streamlit
+langchain
+openai
+langchain-community
+langchain-openai
+anthropic
+tiktoken
+python-dotenv
+requests
+beautifulsoup4
+markdown
+fastapi
+uvicorn
+pydantic>=2
+langgraph>=0.2.30
+reportlab