Update app.py

app.py

@@ -41,7 +41,19 @@ def processing(pdf):
     vectorDB = get_vectorstore(text_chunks)
     return vectorDB
 
-# Function to generate quiz questions
+
+# Function to generate questions using OpenAI GPT-3
+def generate_questions(text, num_questions):
+    prompt = f"Generate {num_questions} questions from the given text:\n{text}"
+    response = openai.Completion.create(
+        engine="gpt-3.5-turbo",  # You can use another engine if needed
+        prompt=prompt,
+        max_tokens=200
+    )
+    questions = [choice['text'].strip() for choice in response['choices']]
+    return questions
+
+# Modified generate_quiz function
 def generate_quiz(quiz_name, quiz_topic, num_questions, pdf_content):
     st.header(f"Quiz Generator: {quiz_name}")
     st.subheader(f"Topic: {quiz_topic}")
@@ -51,23 +63,28 @@ def generate_quiz(quiz_name, quiz_topic, num_questions, pdf_content):
         st.session_state['vectorDB'] = processing(pdf_content)
         st.success('PDF Processed and Vector Database Created')
 
-    # Generate Quiz Questions
-    for i in range(1, num_questions + 1):
-        st.subheader(f"Question {i}")
-        question = st.text_input(f"Enter Question {i}:", key=f"question_{i}")
-        options = []
-        for j in range(1, 5):
-            option = st.text_input(f"Option {j}:", key=f"option_{i}_{j}")
-            options.append(option)
-
-        correct_answer = st.selectbox(f"Correct Answer for Question {i}:", options=options, key=f"correct_answer_{i}")
-
-        # Save question, options, and correct answer in vector database
-        if st.session_state.vectorDB:
-            # Create a prompt template for question and options
-            template = f"Quiz: {quiz_name}\nTopic: {quiz_topic}\nQuestion: {question}\nOptions: {', '.join(options)}\nCorrect Answer: {correct_answer}"
-            prompt = PromptTemplate(template=template, input_variables=['chat_history','human_input','name','context'])
-
+    # Generate Quiz Questions using OpenAI GPT-3.5
+    if st.session_state.vectorDB:
+        raw_text = get_pdf_text(pdf_content)
+        generated_questions = generate_questions(raw_text, num_questions)
+
+        # Display and collect user input for each generated question
+        for i, generated_question in enumerate(generated_questions):
+            st.subheader(f"Question {i + 1}")
+            question = st.text_input(f"Generated Question: {generated_question}", key=f"question_{i + 1}")
+
+            # Collect options and correct answer
+            options = []
+            for j in range(1, 5):
+                option = st.text_input(f"Option {j}:", key=f"option_{i + 1}_{j}")
+                options.append(option)
+
+            correct_answer = st.selectbox(f"Correct Answer for Question {i + 1}:", options=options, key=f"correct_answer_{i + 1}")
+
+            # Save question, options, and correct answer in vector database
+            # (Replace the following line with your logic to store in the vector database)
+            if st.button(f'Save Question {i + 1}'):
+                st.success(f'Question {i + 1} Saved!')
 
     # Save button to store vector database
     if st.session_state.vectorDB: