Update app.py

app.py

@@ -151,7 +151,14 @@ def process_final_report(agent, file, chatbot_state: List[Dict[str, str]]) -> Tu
                     call_agent=False,
                     conversation=[],
                 ):
-                    response += getattr(result, "content", result) if isinstance(result, (str, list)) else ""
+                    if isinstance(result, str):
+                        response += result
+                    elif isinstance(result, list):
+                        for r in result:
+                            if hasattr(r, "content"):
+                                response += r.content
+                    elif hasattr(result, "content"):
+                        response += result.content
             except Exception as e:
                 return index, f"❌ Error analyzing chunk {index+1}: {str(e)}"
             return index, clean_response(response)
@@ -183,7 +190,14 @@ def process_final_report(agent, file, chatbot_state: List[Dict[str, str]]) -> Tu
             call_agent=False,
             conversation=[],
         ):
-            final_report_text += getattr(result, "content", result) if isinstance(result, (str, list)) else ""
+            if isinstance(result, str):
+                final_report_text += result
+            elif isinstance(result, list):
+                for r in result:
+                    if hasattr(r, "content"):
+                        final_report_text += r.content
+            elif hasattr(result, "content"):
+                final_report_text += result.content
 
         cleaned = clean_response(final_report_text)
         report_path = os.path.join(report_dir, f"report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md")
@@ -200,32 +214,38 @@ def process_final_report(agent, file, chatbot_state: List[Dict[str, str]]) -> Tu
 
 def create_ui(agent):
     with gr.Blocks(css="""
-        .gradio-container {
-            max-width: 900px;
-            margin: auto;
+        html, body, .gradio-container {
+            height: 100% !important;
+            width: 100% !important;
+            margin: 0;
+            padding: 0;
             font-family: 'Segoe UI', sans-serif;
-            background-color: #f9fafc;
+            background-color: #f0f2f5;
         }
         .gr-button.primary {
-            background: linear-gradient(to right, #4b6cb7, #182848);
+            background: linear-gradient(to right, #5c6bc0, #3949ab);
             color: white;
-            border: none;
-            border-radius: 8px;
+            font-weight: bold;
+            border-radius: 6px;
         }
         .gr-chatbot, .gr-markdown, .gr-file-upload {
             background-color: white;
             border-radius: 10px;
-            box-shadow: 0 2px 4px rgba(0,0,0,0.1);
+            box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+        }
+        .gr-chatbot {
+            border-left: 4px solid #5c6bc0;
+            padding: 0.5rem;
         }
     """) as demo:
         gr.Markdown("""
-        <h2 style='color:#182848'>🏥 Patient History Analysis Tool</h2>
-        <p>Upload your clinical Excel file to receive a professional diagnostic summary.</p>
+        <h2 style='color:#3949ab; margin-bottom: 0.5em;'>🏥 Patient History Analysis Tool</h2>
+        <p style='color:#333; font-size: 1rem;'>Upload an Excel file to receive a structured, professional diagnostic summary.</p>
         """)
 
         with gr.Row():
             with gr.Column(scale=3):
-                chatbot = gr.Chatbot(label="Clinical Assistant", height=600, type="messages")
+                chatbot = gr.Chatbot(label="Clinical Assistant", height=650, type="messages")
             with gr.Column(scale=1):
                 file_upload = gr.File(label="Upload Excel File", file_types=[".xlsx"])
                 analyze_btn = gr.Button("🧠 Analyze", variant="primary")