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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"Calculate cost based on unit rate." | |
"Example: 20 chocolates for Rs 320. Find cost for 35 chocolates." | |
"Format: Given: 20 chocolates = Rs 320. Cost per chocolate = (320/20)." | |
"Cost for 35 = (320/20) × 35 = Rs 560.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 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.") |