Update app.py

app.py

@@ -27,7 +27,7 @@ def extract_transcript_info(df):
     gpa_match = re.search(r'(GPA|Grade Point Average)[^\d]*(\d+\.\d+)', transcript_text, re.IGNORECASE)
     if gpa_match:
         info['GPA'] = gpa_match.group(2)
-    grade_match = re.search(r'Grade:?\s*(\d{1,2})', transcript_text, re.IGNORECASE)
+    grade_match = re.search(r'Grade:?[\s]*(\d{1,2})', transcript_text, re.IGNORECASE)
     if grade_match:
         info['Grade_Level'] = grade_match.group(1)
     courses = re.findall(r'(?i)\b([A-Z][a-zA-Z\s&/]+)\s+(\d{1,3})\b', transcript_text)
@@ -110,17 +110,28 @@ get_to_know_categories = {
 
 # Save all answers into profile
 def save_profile(file, *inputs):
+    if not file:
+        return "⚠️ Please upload your transcript."
+
     quiz_answers = inputs[:len(learning_style_questions)]
-    category_answers = inputs[len(learning_style_questions):-1]
-    blog_text = inputs[-1]
+    if any(ans is None for ans in quiz_answers):
+        return "⚠️ Please answer all the learning style questions."
+
+    about_me = inputs[len(learning_style_questions)]
+    blog_opt_in = inputs[len(learning_style_questions)+1]
+    blog_text = inputs[len(learning_style_questions)+2]
+    category_answers = inputs[len(learning_style_questions)+3:]
 
-    if None in inputs or file is None:
-        return "❌ Please complete all sections before saving."
+    if any(ans.strip() == "" for ans in category_answers):
+        return "⚠️ Please complete all 'Get to Know You' sections before saving."
 
     df = parse_transcript(file)
     transcript_info = extract_transcript_info(df)
     learning_type = learning_style_quiz(*quiz_answers)
 
+    if not blog_opt_in and blog_text.strip() == "":
+        blog_text = "[User chose to skip this section]"
+
     question_texts = [q for cat in get_to_know_categories.values() for q, _ in cat]
     responses = dict(zip(question_texts, category_answers))
 
@@ -128,14 +139,15 @@ def save_profile(file, *inputs):
         "transcript": df.to_dict(orient='records'),
         "transcript_info": transcript_info,
         "learning_style": learning_type,
+        "about_me": about_me,
         "get_to_know_answers": responses,
-        "blog": blog_text.strip() if blog_text.strip() != "" else "[User skipped blog]"
+        "blog": blog_text
     }
 
     with open("student_profile.json", "w") as f:
         json.dump(profile, f, indent=4)
 
-    return f"✅ Profile saved! Your learning style is: {learning_type}."
+    return f"✅ Profile saved! Your learning style is: {learning_type}"
 
 # Build Gradio UI
 with gr.Blocks() as demo:
@@ -149,26 +161,28 @@ with gr.Blocks() as demo:
         quiz_components = []
         for i, (question, options) in enumerate(zip(learning_style_questions, learning_style_answers)):
             quiz_components.append(gr.Radio(
-                choices=options,
-                label=f"{i+1}. {question}",
-                type="value"
+                choices=["visual", "auditory", "reading/writing"],
+                label=f"{i+1}. {question}"
             ))
 
+    with gr.Column():
+        gr.Markdown("### ❤️ About You")
+        about_me = gr.Textbox(lines=6, label="About Me")
+        blog_opt_in = gr.Checkbox(label="I want to write a personal blog for better personalization")
+        blog_text = gr.Textbox(lines=5, label="✍️ Optional: Write a mini blog about your life", visible=True)
+
     category_inputs = []
     for category, questions in get_to_know_categories.items():
         gr.Markdown(f"### 📘 {category}")
         for q_text, _ in questions:
             category_inputs.append(gr.Textbox(label=q_text))
 
-    gr.Markdown("### 📝 Optional Blog")
-    blog_text = gr.Textbox(label="Would you like to share a bit more about yourself? Write a short blog.", lines=6)
-
     submit = gr.Button("📥 Save My Profile")
     output = gr.Textbox(label="Status")
 
     submit.click(fn=save_profile,
-                 inputs=[file, *quiz_components, *category_inputs, blog_text],
+                 inputs=[file, *quiz_components, about_me, blog_opt_in, blog_text, *category_inputs],
                  outputs=[output])
 
 if __name__ == '__main__':
-    demo.launch()
+    demo.launch()