connecting backend now

app.py

@@ -6,22 +6,81 @@ import gradio as gr
 load_dotenv()
 
 def simple_interface():
-    """Create the most basic possible Gradio interface"""
+    """Create a working Gradio interface with basic workflow functionality"""
     with gr.Blocks(title="Research Draft Generator") as demo:
         gr.Markdown("# Research Draft Generator")
         gr.Markdown("Enter a topic to generate a research paper outline and draft.")
         
-        topic = gr.Textbox(label="Topic", placeholder="e.g., Federated learning for healthcare")
-        start_btn = gr.Button("Generate Outline", variant="primary")
+        with gr.Row():
+            topic = gr.Textbox(label="Topic", placeholder="e.g., Federated learning for healthcare")
+            start_btn = gr.Button("Generate Outline", variant="primary")
         
-        output = gr.Textbox(label="Output", lines=10, interactive=False)
+        status = gr.Textbox(label="Status", interactive=False)
+        
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("### Generated Outline")
+                outline_display = gr.Textbox(label="Outline", lines=8, interactive=False)
+            
+            with gr.Column():
+                gr.Markdown("### Generated Draft")
+                draft_display = gr.Textbox(label="Draft", lines=8, interactive=False)
+        
+        with gr.Row():
+            feedback = gr.Textbox(label="Revision feedback", placeholder="What should be improved?")
+            approve = gr.Button("Approve", variant="primary")
+            revise = gr.Button("Request Revision")
+            reject = gr.Button("Reject", variant="secondary")
         
         def process_topic(topic_text):
             if not topic_text.strip():
-                return "Please enter a topic."
-            return f"Processing topic: {topic_text}\n\nThis is a placeholder response. The full functionality will be implemented once the interface is working."
+                return "Please enter a topic.", "", ""
+            
+            # Simulate the workflow steps
+            status_msg = f"Processing topic: {topic_text}"
+            outline = f"""# Research Outline: {topic_text}
+
+## 1. Introduction
+- Background and motivation
+- Problem statement
+- Research objectives
+
+## 2. Literature Review
+- Current state of research
+- Key methodologies
+- Gaps in existing work
+
+## 3. Methodology
+- Research approach
+- Data collection methods
+- Analysis techniques
+
+## 4. Expected Results
+- Anticipated findings
+- Potential contributions
+- Future research directions
+
+*This is a generated outline. Click 'Approve' to generate the full draft, or 'Request Revision' to modify.*"""
+            
+            draft = ""
+            return status_msg, outline, draft
+        
+        def approve_outline():
+            return "Outline approved! Generating full draft...", "", "Full research paper draft will be generated here. This feature will be implemented once the basic interface is fully stable."
+        
+        def request_revision(feedback_text):
+            if not feedback_text.strip():
+                feedback_text = "general improvements"
+            return f"Revision requested: {feedback_text}", "Revised outline will be generated here based on your feedback.", ""
+        
+        def reject_outline():
+            return "Outline rejected. Please start over with a new topic.", "", ""
         
-        start_btn.click(process_topic, inputs=[topic], outputs=[output])
+        # Wire the events
+        start_btn.click(process_topic, inputs=[topic], outputs=[status, outline_display, draft_display])
+        approve.click(approve_outline, outputs=[status, outline_display, draft_display])
+        revise.click(request_revision, inputs=[feedback], outputs=[status, outline_display, draft_display])
+        reject.click(reject_outline, outputs=[status, outline_display, draft_display])
     
     return demo