| import streamlit as st |
| from langchain_community.llms import OpenAI |
|
|
| st.title("Maths Problem Solving with Adolina!") |
|
|
| def mathematics(topic): |
| prompt = ( |
| f"Solve this: {topic} as a CBSE Board Mathematics Teacher. " |
| "You need to provide solutions for the questions asked in the following format:\n\n" |
| "1. Problem Statement: State the problem clearly.\n" |
| "2. Solution Approach: Solve as per CBSE guidelines.\n" |
| "3. Step-by-Step Solution: Show the method of solution.\n" |
| "4. Final Answer: Clearly present the final answer, with any necessary units or explanations." |
| ) |
| llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["sk-proj-q7ZheuD9p1QQ9zdOFcesT3BlbkFJ8zIk4TSUwCDpYrOIk0nV"]) |
| response = llm(prompt) |
| return response |
|
|
| with st.form("my_form"): |
| topic = st.text_area("Mathematics with Adolina") |
| |
| submitted = st.form_submit_button("Ask to Spot") |
| if submitted and topic: |
| post = mathematics(topic) |
| st.info(post) |
| elif submitted and not topic: |
| st.error("Give me problems.") |
|
|
