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import streamlit as st | |
#from langchain.llms import OpenAI | |
from langchain_community.llms import OpenAI | |
st.title("ask me anything!") | |
def mathematics(topic): | |
# Enhanced prompt with additional context for better post generation | |
prompt =( | |
f"As 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 :{topic}" | |
) | |
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 dipanwita") | |
submitted = st.form_submit_button("Ask dilip") | |
if submitted and topic: | |
post = mathematics(topic) | |
st.info(post) | |
elif submitted and not topic: | |
st.error("Please enter a topic to generate a post.") |