Update app.py

app.py

@@ -40,11 +40,11 @@ def generate_questions(model_choice, role, question_type, num_questions, difficu
             prompt=prompt,
             max_tokens=150
         )
-        return response.choices[0].text.strip()
+        return response.choices[0].text.strip().split("\n")
     elif model_choice == "Gemini":
         llm = get_llm(model_choice)
         response = llm.invoke(prompt)
-        return response.content
+        return response.content.strip().split("\n")
     else:
         raise ValueError("Unsupported model choice.")
 
@@ -210,16 +210,14 @@ st.markdown(
     .stButton>button:hover {
         background-color: #45a049;
     }
-    .output-container {
-        border: 2px solid #2196F3;
-        border-radius: 8px;
-        padding: 15px;
-        margin: 15px 0;
-        background-color: #f1f1f1;
-    }
     .progress-container {
-        border: 2px solid #2196F3;
+        padding: 15px;
+        background-color: #f1f8e9;
         border-radius: 8px;
+        border: 1px solid #c5e1a5;
+        margin-bottom: 20px;
+    }
+    .output-container {
         padding: 15px;
         margin: 15px 0;
         background-color: #e3f2fd;
@@ -227,6 +225,8 @@ st.markdown(
     .sidebar {
         background-color: #ffffff; /* Sidebar background color */
         padding: 1em;
+        max-height: 600px; /* Adjust height for scrolling */
+        overflow-y: auto;
     }
     .footer {
         background-color: #4CAF50;
@@ -272,7 +272,7 @@ st.title("💼 TechPrep")
 
 model_choice = st.selectbox("Select AI Model", ["Gemini", "OpenAI"], key="select_model")
 
-# Updated role dropdown with 20 roles
+# Updated role dropdown with scrollable feature
 roles = [
     "Software Developer", "Data Analyst", "Marketing Manager", "Project Manager", "UX Designer",
     "Machine Learning Engineer", "Data Scientist", "AI Researcher", "Product Manager", "Business Analyst",
@@ -290,8 +290,30 @@ st.header("📝 Generate Interview Questions")
 if st.button("Generate Questions", key="generate_questions"):
     with st.spinner("Generating questions..."):
         questions = generate_questions(model_choice, role, question_type, num_questions, difficulty)
-        st.markdown(style_output("Questions Generated:", "#4CAF50"), unsafe_allow_html=True)
-        st.write(questions)
+        
+        # Paginate questions
+        if "question_index" not in st.session_state:
+            st.session_state.question_index = 0
+        
+        if "questions" not in st.session_state:
+            st.session_state.questions = questions
+        
+        total_questions = len(st.session_state.questions)
+        if total_questions > 0:
+            st.markdown(style_output(f"Question {st.session_state.question_index + 1} of {total_questions}:", "#4CAF50"), unsafe_allow_html=True)
+            st.write(st.session_state.questions[st.session_state.question_index])
+            
+            col1, col2 = st.columns(2)
+            with col1:
+                if st.session_state.question_index > 0:
+                    if st.button("Previous Question"):
+                        st.session_state.question_index -= 1
+                        
+            with col2:
+                if st.session_state.question_index < total_questions - 1:
+                    if st.button("Next Question"):
+                        st.session_state.question_index += 1
+                        
         progress_data["questions_solved"][question_type] += num_questions
 
 st.header("🗣️ Provide Feedback")