Update app.py

app.py

@@ -1,3 +1,83 @@
+# import os
+# from dotenv import load_dotenv
+# from groq import Groq
+# import streamlit as st
+
+# # Load environment variables
+# load_dotenv()
+
+# # Initialize the Groq client with API key
+# client = Groq(api_key=os.getenv("GROQ_API_KEY"))
+
+# # Function to generate MCQs based on the input text
+# def generate_mcqs_from_text(user_text):
+#     prompt = f"""
+#     Based on the following text, generate between 30 to 50 multiple-choice questions. 
+#     Each question should have four answer options, with one correct answer and three distractors. 
+#     Make sure the questions are clear and test the user's understanding of the content. 
+#     Provide the questions in the following format:
+    
+#     Question: [Your question here]  
+#     A. [Option 1]  
+#     B. [Option 2]  
+#     C. [Option 3]  
+#     D. [Option 4]  
+#     Correct Answer: [Correct Option]
+    
+#     Text: {user_text}
+#     """
+#     chat_completion = client.chat.completions.create(
+#         messages=[{"role": "user", "content": prompt}],
+#         model="gemma2-9b-it",  # Use a valid model that supports chat completions
+#     )
+#     return chat_completion.choices[0].message.content
+
+# # Function to evaluate user answers
+# def evaluate_answers(mcqs, user_answers):
+#     prompt = f"""
+#     Here are the user's answers to the following multiple-choice questions. 
+#     Please evaluate them as an experienced teacher, providing feedback on correctness, 
+#     and explain why each answer is right or wrong.
+    
+#     MCQs: {mcqs}
+#     User Answers: {user_answers}
+#     """
+#     chat_completion = client.chat.completions.create(
+#         messages=[{"role": "user", "content": prompt}],
+#         model="gemma2-9b-it",  # Use a valid model
+#     )
+#     return chat_completion.choices[0].message.content
+
+# # Streamlit App
+# st.title("Study Assistant - MCQ Generator & Evaluator")
+# st.sidebar.header("Input Settings")
+
+# # Input text from user
+# user_text = st.sidebar.text_area("Enter the text for generating MCQs:", height=200)
+
+# if st.sidebar.button("Generate MCQs"):
+#     if user_text.strip():
+#         with st.spinner("Generating MCQs..."):
+#             mcqs = generate_mcqs_from_text(user_text)
+#         st.subheader("Generated MCQs:")
+#         st.text_area("MCQs", value=mcqs, height=400)
+#         st.session_state["mcqs"] = mcqs  # Store MCQs for evaluation
+#     else:
+#         st.error("Please enter text for generating MCQs.")
+
+# # Input user answers for evaluation
+# if "mcqs" in st.session_state:
+#     user_answers = st.text_area("Enter your answers (e.g., A, B, C, D for each question):", height=100)
+#     if st.button("Evaluate Answers"):
+#         if user_answers.strip():
+#             with st.spinner("Evaluating answers..."):
+#                 evaluation_result = evaluate_answers(st.session_state["mcqs"], user_answers)
+#             st.subheader("Evaluation Result:")
+#             st.text_area("Evaluation", value=evaluation_result, height=400)
+#         else:
+#             st.error("Please enter your answers for evaluation.")
+
+
 import os
 from dotenv import load_dotenv
 from groq import Groq
@@ -9,14 +89,18 @@ load_dotenv()
 # Initialize the Groq client with API key
 client = Groq(api_key=os.getenv("GROQ_API_KEY"))
 
-# Function to generate MCQs based on the input text
+# Function to generate MCQs as a 35-year experienced educator
 def generate_mcqs_from_text(user_text):
     prompt = f"""
-    Based on the following text, generate between 30 to 50 multiple-choice questions. 
-    Each question should have four answer options, with one correct answer and three distractors. 
-    Make sure the questions are clear and test the user's understanding of the content. 
-    Provide the questions in the following format:
-    
+    You are a 35-year experienced educator specializing in crafting challenging and insightful MCQs. 
+    Based on the following text, generate between 30 to 50 multiple-choice questions (MCQs). 
+    Each question should:
+    1. Test critical thinking and understanding of the content.
+    2. Include four options (A, B, C, D), with one correct answer and three well-designed distractors.
+    3. Provide clear, concise language and avoid ambiguity.
+    4. Provide the correct answer with each MCQ.
+
+    Format the output as:
     Question: [Your question here]  
     A. [Option 1]  
     B. [Option 2]  
@@ -28,51 +112,30 @@ def generate_mcqs_from_text(user_text):
     """
     chat_completion = client.chat.completions.create(
         messages=[{"role": "user", "content": prompt}],
-        model="gemma2-9b-it",  # Use a valid model that supports chat completions
-    )
-    return chat_completion.choices[0].message.content
-
-# Function to evaluate user answers
-def evaluate_answers(mcqs, user_answers):
-    prompt = f"""
-    Here are the user's answers to the following multiple-choice questions. 
-    Please evaluate them as an experienced teacher, providing feedback on correctness, 
-    and explain why each answer is right or wrong.
-    
-    MCQs: {mcqs}
-    User Answers: {user_answers}
-    """
-    chat_completion = client.chat.completions.create(
-        messages=[{"role": "user", "content": prompt}],
-        model="gemma2-9b-it",  # Use a valid model
+        model="gemma2-9b-it",  # Use a valid Groq-supported model
     )
     return chat_completion.choices[0].message.content
 
 # Streamlit App
-st.title("Study Assistant - MCQ Generator & Evaluator")
-st.sidebar.header("Input Settings")
+st.title("MCQ Generator with Correct Answers")
+st.write("Paste your text below, and the app will generate MCQs with the correct answers.")
 
 # Input text from user
-user_text = st.sidebar.text_area("Enter the text for generating MCQs:", height=200)
+user_text = st.text_area("Enter the text for generating MCQs:", height=200)
 
-if st.sidebar.button("Generate MCQs"):
+if st.button("Generate MCQs"):
     if user_text.strip():
         with st.spinner("Generating MCQs..."):
             mcqs = generate_mcqs_from_text(user_text)
-        st.subheader("Generated MCQs:")
-        st.text_area("MCQs", value=mcqs, height=400)
-        st.session_state["mcqs"] = mcqs  # Store MCQs for evaluation
+        st.subheader("Generated MCQs with Correct Answers:")
+        st.text_area("MCQs", value=mcqs, height=600)
     else:
         st.error("Please enter text for generating MCQs.")
 
-# Input user answers for evaluation
-if "mcqs" in st.session_state:
-    user_answers = st.text_area("Enter your answers (e.g., A, B, C, D for each question):", height=100)
-    if st.button("Evaluate Answers"):
-        if user_answers.strip():
-            with st.spinner("Evaluating answers..."):
-                evaluation_result = evaluate_answers(st.session_state["mcqs"], user_answers)
-            st.subheader("Evaluation Result:")
-            st.text_area("Evaluation", value=evaluation_result, height=400)
-        else:
-            st.error("Please enter your answers for evaluation.")
+
+
+
+
+
+
+