Update app.py

app.py

@@ -5,6 +5,7 @@ from io import BytesIO
 from PyPDF2 import PdfReader
 import docx
 from textwrap import wrap
+import json
 
 # Initialize Groq client
 client = Groq(api_key=os.environ.get("Groq_Api_Key"))
@@ -27,11 +28,9 @@ def extract_text_from_word(doc_file):
 def chunk_text(text, max_tokens=2000):
     """
     Chunks text into smaller pieces that fit within the model's token limit.
-
     Args:
         text (str): The input text to be chunked.
         max_tokens (int): The maximum number of tokens per chunk (default is 2000).
-
     Returns:
         list: A list of text chunks.
     """
@@ -67,11 +66,9 @@ def ask_question(text, question):
 def generate_mcqs(text, num_questions):
     """
     Generate multiple-choice questions from the given text.
-
     Args:
         text (str): The input text for generating MCQs.
         num_questions (int): The number of MCQs to generate.
-
     Returns:
         list: A list of MCQs, or an empty list if parsing fails.
     """
@@ -84,14 +81,17 @@ def generate_mcqs(text, num_questions):
     # Attempt to parse the response as JSON
     try:
         # The model should return a JSON-formatted string
-        mcqs = eval(response.choices[0].message.content)
+        mcqs = json.loads(response.choices[0].message.content)
         if isinstance(mcqs, list):
             return mcqs
         else:
             st.error("The generated MCQs are not in the expected format.")
             return []
+    except json.JSONDecodeError as e:
+        st.error(f"Error decoding MCQs: {e}")
+        return []
     except Exception as e:
-        st.error(f"Error parsing MCQs: {e}")
+        st.error(f"Unexpected error: {e}")
         return []
 
 def adapt_lesson_for_grade(text, grade):