Update app.py

app.py

@@ -87,20 +87,19 @@ def build_prompt_from_text(chunk: str) -> str:
     return f"""
 ### Unstructured Clinical Records
 
-You are reviewing unstructured, mixed-format clinical documentation from various forms, tables, and sheets.
-
-**Objective:** Identify patterns, missed diagnoses, inconsistencies, and follow-up gaps.
-
-Here is the extracted content chunk:
-
-{chunk}
-
-Please analyze the above and provide:
+Analyze the following clinical notes and provide a detailed, concise summary focusing on:
 - Diagnostic Patterns
 - Medication Issues
 - Missed Opportunities
 - Inconsistencies
 - Follow-up Recommendations
+
+---
+
+{chunk}
+
+---
+Respond in well-structured bullet points with medical reasoning.
 """
 
 def init_agent():
@@ -177,7 +176,7 @@ def process_final_report(agent, file, chatbot_state: List[Dict[str, str]]) -> Tu
             return messages, report_path
 
         summary = "\n\n".join(valid_responses)
-        final_prompt = f"Summarize the key findings from the following analyses:\n\n{summary}"
+        final_prompt = f"Provide a structured, consolidated clinical analysis from these results:\n\n{summary}"
         messages.append({"role": "assistant", "content": "📊 Generating final report..."})
 
         final_report_text = ""
@@ -215,37 +214,44 @@ def process_final_report(agent, file, chatbot_state: List[Dict[str, str]]) -> Tu
 def create_ui(agent):
     with gr.Blocks(css="""
         html, body, .gradio-container {
-            height: 100% !important;
-            width: 100% !important;
-            margin: 0;
+            height: 100vh;
+            width: 100vw;
             padding: 0;
-            font-family: 'Segoe UI', sans-serif;
-            background-color: #f0f2f5;
+            margin: 0;
+            font-family: 'Inter', sans-serif;
+            background: #ffffff;
         }
         .gr-button.primary {
-            background: linear-gradient(to right, #5c6bc0, #3949ab);
-            color: white;
-            font-weight: bold;
+            background: #1e88e5;
+            color: #fff;
+            border: none;
             border-radius: 6px;
+            font-weight: 600;
         }
-        .gr-chatbot, .gr-markdown, .gr-file-upload {
-            background-color: white;
-            border-radius: 10px;
-            box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+        .gr-button.primary:hover {
+            background: #1565c0;
         }
         .gr-chatbot {
-            border-left: 4px solid #5c6bc0;
-            padding: 0.5rem;
+            border: 1px solid #e0e0e0;
+            background: #f9f9f9;
+            border-radius: 10px;
+            padding: 1rem;
+            font-size: 15px;
+        }
+        .gr-markdown, .gr-file-upload {
+            background: #ffffff;
+            border-radius: 8px;
+            box-shadow: 0 1px 3px rgba(0,0,0,0.08);
         }
     """) as demo:
         gr.Markdown("""
-        <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>
+        <h2 style='color:#1e88e5'>🩺 Patient History AI Assistant</h2>
+        <p>Upload a clinical Excel file and receive an advanced diagnostic summary.</p>
         """)
 
         with gr.Row():
             with gr.Column(scale=3):
-                chatbot = gr.Chatbot(label="Clinical Assistant", height=650, type="messages")
+                chatbot = gr.Chatbot(label="Clinical Assistant", height=700, 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")