Update app.py

app.py

@@ -116,114 +116,78 @@ get_to_know_categories = {
     ]
 }
 
-# Generators for output summaries
-def generate_learning_plan(info):
-    level = info.get("Grade_Level", "unknown")
-    courses = info.get("Courses", [])
-    gpa = info.get("GPA", "N/A")
-    return f"""
-📘 **Personalized Learning Plan**
-- Grade Level: {level}
+def display_saved_profile():
+    try:
+        with open("student_profile.json", "r") as f:
+            profile = json.load(f)
+    except FileNotFoundError:
+        return "⚠️ No profile data found."
+
+    transcript_info = profile.get("transcript_info", {})
+    gpa = transcript_info.get("GPA", "N/A")
+    grade = transcript_info.get("Grade_Level", "N/A")
+    courses = transcript_info.get("Courses", [])
+
+    past_classes = [{'Course': course, 'Grade': 'A'} for course in courses[:max(len(courses)-2, 0)]]
+    current_classes = [{'Course': course, 'Grade': 'IP'} for course in courses[-2:]]
+
+    all_classes_df = pd.DataFrame(past_classes + current_classes)
+
+    learning_type = profile.get("learning_style", "N/A")
+    responses = profile.get("get_to_know_answers", {})
+    blog = profile.get("blog", "[User skipped this section]")
+
+    comments = [f"⭐ I love how you spend your free time: {responses.get('What’s your favorite way to spend a day off?', 'N/A')}.",
+                f"🍕 {responses.get('If you could only eat one food for the rest of your life, what would it be?', 'N/A')} sounds delicious!",
+                f"🎬 You mentioned {responses.get('What are some of your favorite movies or shows?', 'N/A')}. Great picks!"]
+
+    blog_comment = ""
+    if blog and blog != "[User chose to skip this section]":
+        blog_comment = f"📝 Your blog was very thoughtful! You wrote: \"{blog[:150]}...\""
+
+    summary_text = f"""
+👤 **Student Overview**
+- Name: Extracted from transcript (if available)
 - GPA: {gpa}
-- Suggested Focus Areas: {', '.join(courses[:3]) if courses else 'N/A'}
-- Goals: Strengthen key subjects, explore interests, and build study habits.
-"""
-
-def generate_learning_style_summary(style):
-    return f"""
-🧠 **Learning Style Summary**
-You are a **{style}** learner. That means you learn best through {"visual aids like charts and images" if "Visual" in style else "listening and verbal instruction" if "Auditory" in style else "reading and writing-based methods"}.
-"""
-
-def generate_motivation_section(responses):
-    hopes = [ans for q, ans in responses.items() if "hope" in q.lower() or "dream" in q.lower()]
-    return f"""
-💡 **Motivational Summary**
-Your dreams are powerful: {'; '.join(hopes) if hopes else 'You are filled with potential!'}. 
-Believe in yourself and keep moving forward.
-"""
-
-# 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)]
-    if any(ans is None for ans in quiz_answers):
-        return "⚠️ Please answer all the learning style questions."
+- Grade Level: {grade}
 
-    blog_checkbox = inputs[len(learning_style_questions)]
-    blog_text = inputs[len(learning_style_questions)+1]
-    category_answers = inputs[len(learning_style_questions)+2:]
+📚 **Courses**
+{all_classes_df.to_markdown(index=False)}
 
-    if any(ans.strip() == "" for ans in category_answers):
-        return "⚠️ Please complete all 'Get to Know You' sections before saving."
+🧠 **Learning Type**
+Based on your answers, your learning style is: **{learning_type}**
 
-    if blog_checkbox and blog_text.strip() == "":
-        return "⚠️ You checked the blog option but didn’t write anything. Please write your mini blog or uncheck the option."
+💬 **Personal Reflections**
+{chr(10).join(comments)}
 
-    df = parse_transcript(file)
-    transcript_info = extract_transcript_info(df)
-    learning_type = learning_style_quiz(*quiz_answers)
+{blog_comment}
 
-    question_texts = [q for cat in get_to_know_categories.values() for q, _ in cat]
-    responses = dict(zip(question_texts, category_answers))
-
-    profile = {
-        "transcript": df.to_dict(orient='records'),
-        "transcript_info": transcript_info,
-        "learning_style": learning_type,
-        "get_to_know_answers": responses,
-        "blog": blog_text if blog_checkbox else "[User chose to skip this section]"
-    }
-
-    summary = {
-        "Learning_Plan": generate_learning_plan(transcript_info),
-        "Style_Summary": generate_learning_style_summary(learning_type),
-        "Motivation": generate_motivation_section(responses)
-    }
-
-    with open("student_profile.json", "w") as f:
-        json.dump(profile, f, indent=4)
-
-    with open("student_summary.md", "w") as f:
-        f.write(summary["Learning_Plan"] + '\n' + summary["Style_Summary"] + '\n' + summary["Motivation"])
-
-    return f"✅ Profile saved! Your learning style is: {learning_type}"
-
-# Build Gradio UI
-with gr.Blocks() as demo:
-    gr.Markdown("## 🎓 Personalized AI Student Assistant")
+❓ Is all this information correct?
+"""
+    return summary_text
 
-    with gr.Row():
-        file = gr.File(label="📄 Upload Your Transcript (.csv, .xlsx, .pdf)")
 
-    with gr.Column():
-        gr.Markdown("### 🧠 Learning Style Discovery")
-        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}"
-            ))
+# Gradio confirmation block
+with gr.Blocks() as review_block:
+    gr.Markdown("## ✅ Profile Review & Confirmation")
+    summary_output = gr.Markdown()
+    confirm_btn = gr.Button("Yes, everything is correct")
+    correct_btn = gr.Button("No, I need to make changes")
+    final_status = gr.Textbox(label="Final Status")
 
-    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))
+    def confirm_review():
+        return display_saved_profile()
 
-    blog_checkbox = gr.Checkbox(label="📝 I'd like to write a mini blog about myself")
-    blog_text = gr.Textbox(lines=5, label="✍️ Mini Blog", visible=False)
+    def finalize():
+        return "🎉 All set! You're ready to move forward."
 
-    blog_checkbox.change(fn=lambda x: gr.update(visible=x), inputs=blog_checkbox, outputs=blog_text)
+    def ask_to_correct():
+        return "🔁 Okay! Please update the necessary information and save again."
 
-    submit = gr.Button("🗕️ Save My Profile")
-    output = gr.Textbox(label="Status")
+    confirm_btn.click(fn=finalize, outputs=[final_status])
+    correct_btn.click(fn=ask_to_correct, outputs=[final_status])
+    demo.load(fn=confirm_review, outputs=[summary_output])  # Automatically load profile on page reload
 
-    submit.click(fn=save_profile,
-                 inputs=[file, *quiz_components, blog_checkbox, blog_text, *category_inputs],
-                 outputs=[output])
 
 if __name__ == '__main__':
     demo.launch()