added the data structure part ot genai

added the data structure probklem generation to gen ai

app.py

@@ -1,4 +1,49 @@
-import streamlit as st
+import langchain_helper as lch  # Import custom helper module for LangChain operations
+import streamlit as st  # Import Streamlit for web app development
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+# Set up the Streamlit web page title
+st.title("Data Structures Problems Generator")
+
+# Define the list of topics for data structure problems
+topic_options = [
+    "", "Recursion", "Stack", "Queue", "Linked List", "Priority Queue", "Hash Table", "Binary Tree", "Binary Search Tree", "Graph", "Depth-First Search", "Breadth-First Search"
+]
+
+# Create a sidebar selection box in Streamlit for choosing a topic
+topic = st.sidebar.selectbox(
+    "Choose a Topic for the Problem",
+    topic_options)
+
+# Define the list of difficulty levels for the problems
+difficulty_levels = ["", "Easy", "Medium", "Hard"]
+# Create a sidebar selection box in Streamlit for choosing the difficulty level
+difficulty = st.sidebar.selectbox(
+    "Choose a Difficulty Level",
+    difficulty_levels)
+
+# Create buttons in the sidebar for submitting a problem request and for solving a problem
+submit_button = st.sidebar.button("Submit")
+solve_button = st.sidebar.button("Solve")
+
+# Handle the event when the 'Submit' button is clicked
+if submit_button and topic and difficulty:
+    # Generate a data structure problem using the selected topic and difficulty
+    response = lch.generate_DS_problem(
+        topic=topic, difficulty=difficulty)
+    # Store the generated problem in a variable
+    lch.coding_problem = response["coding_problem"]
+    # Display the generated problem on the web page
+    st.subheader("Coding problem: ")
+    st.markdown(lch.coding_problem)
+
+# Handle the event when the 'Solve' button is clicked
+if solve_button and lch.coding_problem:
+    # Generate a solution for the stored coding problem
+    solution = lch.generate_DS_solution(lch.coding_problem)
+    # Extract the solution from the response
+    solution = solution["coding_problem_solution"]
+    # Display both the problem and its solution on the web page
+    st.subheader("Coding problem: ")
+    st.markdown(lch.coding_problem)
+    st.subheader("Solution: ")
+    st.markdown(solution)