import streamlit as st
#from langchain.llms import OpenAI
from langchain_community.llms import OpenAI


st.title("Maths Problem Solving with Adolina!")

def mathematics(topic):
    # Enhanced prompt with additional context for better post generation
    prompt =( 
    fAs a CBSE Board Mathematics Teacher, you need to provide solutions for the questions asked in the following format:

1. **Problem Statement**: State the problem clearly.
2. **Solution Approach**: Explain how you plan to solve the problem or the methodology you'll use.
3. **Step-by-Step Solution**: Provide a detailed, step-by-step solution, showing all the calculations or processes involved.
4. **Final Answer**: Clearly present the final answer, with any necessary units or explanations.

Please provide the questions you need assistance with, and I'll help you solve them using this format." solve this :
    )
    llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"])
    response = llm(prompt)
    return response

with st.form("my_form"): 
    topic = st.text_area("Mathematics with Adolina")
   
    submitted = st.form_submit_button("Ask Spot")
    if submitted and topic:
        post = mathematics(topic)
        st.info(post)
    elif submitted and not topic:
        st.error("Give me problems.")