Update app.py

app.py

@@ -7,13 +7,6 @@ import docx
 from textwrap import wrap
 import json
 
-# Set page configuration (move this to the very start)
-st.set_page_config(
-    page_title="EduAI Assistant",
-    page_icon="📚",
-    layout="wide"
-)
-
 # Initialize Groq client
 client = Groq(api_key=os.environ.get("Groq_Api_Key"))
 
@@ -89,7 +82,7 @@ def generate_mcqs(text, num_questions):
         text (str): The input text for generating MCQs.
         num_questions (int): The number of MCQs to generate.
     Returns:
-        list: A list of MCQs as dictionaries, or an empty list if parsing fails.
+        list: A list of MCQs, or an empty list if parsing fails.
     """
     messages = [
         {"role": "system", "content": "Generate multiple-choice questions for a lesson."},
@@ -109,7 +102,14 @@ def generate_mcqs(text, num_questions):
         # Load the JSON response
         mcqs = json.loads(cleaned_response)  # Attempt to parse the cleaned response
         if isinstance(mcqs, list):
-            return mcqs  # Return the MCQs as a list of dictionaries
+            # Reformat the MCQs into the desired format
+            formatted_mcqs = []
+            for i, mcq in enumerate(mcqs, 1):
+                question = mcq['question']
+                options = "\n".join([f"{chr(97 + idx)}) {option}" for idx, option in enumerate(mcq['options'])])
+                answer = mcq['answer']
+                formatted_mcqs.append(f"**Q{i}. {question}**\n{options}\n\nAnswer: {answer}\n")
+            return formatted_mcqs
         else:
             st.error("The generated MCQs are not in the expected format.")
             return []
@@ -120,20 +120,27 @@ def generate_mcqs(text, num_questions):
         st.error(f"Unexpected error: {e}")
         return []
 
+
 def adapt_lesson_for_grade(text, grade):
     """
     Adapt lesson content for a specific grade level.
     """
     messages = [
         {"role": "system", "content": "Adapt the lesson content for a specific grade."},
-        {"role": "user", "content": f"Context: {text}\n\nAdapt this lesson for {grade}."},
+        {"role": "user", "content": f"Context: {text}\n\nAdapt this lesson for grade {grade}."},
     ]
     response = client.chat.completions.create(messages=messages, model="llama-3.3-70b-versatile", stream=False)
     return response.choices[0].message.content
 
 # Streamlit app layout
+st.set_page_config(
+    page_title="EduAI Assistant",
+    page_icon="📚",
+    layout="wide"
+)
+
 st.title("EduAI Assistant for Teachers")
-st.markdown("""
+st.markdown(""" 
 Welcome to the AI-powered teaching assistant!  
 - Upload your lesson files or input text.  
 - Ask questions, summarize topics, or create quizzes and assignments tailored to different grades.
@@ -194,16 +201,16 @@ if manual_input or uploaded_files:
             st.write("### Multiple Choice Questions")
             for i, mcq in enumerate(mcqs, 1):
                 st.write(f"**Q{i}. {mcq['question']}**")
-                for idx, option in enumerate(mcq['options']):
-                    st.write(f"{chr(97 + idx)}) {option}")
+                for option in mcq['options']:
+                    st.write(f"- {option}")
                 st.write(f"**Answer:** {mcq['answer']}")
                 st.write("---")
 
     elif task == "Adapt Lesson for Grades":
-        grade = st.selectbox("Select the target grade level:", ["Grade 1", "Grade 5", "Grade 8", "Grade 12"])
+        grade = st.selectbox("Select the target grade level:", list(range(1, 17)))  # Grades 1 to 16
         if st.button("Adapt Lesson"):
             adapted_lessons = [adapt_lesson_for_grade(chunk, grade) for chunk in text_chunks]
-            st.write(f"### Lesson Adapted for {grade}")
+            st.write(f"### Lesson Adapted for Grade {grade}")
             st.write("\n\n".join(adapted_lessons))
 
 else: