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import streamlit as st
from langchain.llms import Cohere
from streamlit_chat import message
def api_calling(question):
model = Cohere(cohere_api_key='AwUrUmbrQPC8ROSvqGdSxlYM8TZjgfOYGxNmGaci')
response = model.invoke(question)
return response
st.title("COHERE CHATBOT MARDI.BADR")
if 'user_input' not in st.session_state:
st.session_state['user_input'] = []
if 'cohere_response' not in st.session_state:
st.session_state['cohere_response'] = []
def get_text():
input_text = st.text_input("write here", key="input")
return input_text
user_input = get_text()
if user_input:
output = api_calling(user_input)
output = output.lstrip("\n")
# Store the output
st.session_state.cohere_response.append(user_input)
st.session_state.user_input.append(output)
message_history = st.empty()
if st.session_state['user_input']:
for i in range(len(st.session_state['user_input']) - 1, -1, -1):
# This function displays user input
message(st.session_state["user_input"][i],
key=str(i),avatar_style="icons")
message(st.session_state['cohere_response'][i],
avatar_style="miniavs",is_user=True,
key=str(i) + 'data_by_user')
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