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249a203 1d7f5d1 f081c52 a988038 f081c52 a988038 f081c52 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | import streamlit as st
from main_2 import input_output
from model_2 import classes,unique_output
import pandas as pd
st.title("Chatbot to know Your Prakriti 🍃")
st.write("Hello! I'm your chatbot. You can ask any query to me")
Questions = []
Q = []
for i in range(18):
st.write(f"What is Your {classes[i]}?")
options = unique_output[i]
selected_option = st.selectbox(f"Choose your answer:",options)
Q.append(selected_option)
Questions.append(Q)
Questions = pd.DataFrame(Questions)
if st.button("Process"):
Output = input_output(Questions)
st.write(f"Your Prakriti is: {Output}")
# import streamlit as st
# from main_2 import input_output
# import pandas as pd
# from model_2 import classes,unique_output
# st.title("Chatbot to know Your Prakruti 🍃")
# st.write("Prakruti, in Ayurveda, refers to an individual's unique physical and psychological constitution. It is determined by the balance of three fundamental energies or doshas: Vata, Pitta, and Kapha. Understanding one's Prakruti helps tailor health and lifestyle choices for overall well-being.")
# if "messages" not in st.session_state:
# st.session_state.messages = []
# st.session_state.messages.append({
# 'role':'assistant',
# 'content':"Hi! I'm your virtual assistant. If you need to know your Prakruti enter 'Yes'"
# })
# for message in st.session_state.messages:
# with st.chat_message(message["role"]):
# st.markdown(message["content"])
# prompt = st.chat_input()
# if prompt:
# # with st.chat_message("user"):
# # st.markdown(prompt)
# # st.session_state.messages.append({"role":"user","content":prompt})
# # response = f"ChatBot: {input_output(prompt)}"
# # with st.chat_message("assistant"):
# # st.markdown(response)
# # st.session_state.messages.append({"role":"assistant","content":response})
# Questions = []
# Q = []
# for i in range(18):
# Que = f"What is Your {classes[i]}?"
# with st.chat_message("assistant"):
# st.markdown(Que)
# st.session_state.messages.append({"role":"assistant","context":Que})
# options = unique_output[i]
# selected_option = st.selectbox(f"Choose your answer:",options)
# Q.append(selected_option)
# with st.chat_message("user"):
# st.markdown(selected_option)
# st.session_state.messages.append({"role":"user","context":selected_option})
# Questions.append(Q)
# Questions = pd.DataFrame(Questions)
# output = input_output(Questions)
# with st.chat_message("assistant"):
# st.markdown(output)
# st.session_state.messages.append({"role":"assistant","context":output}) |