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# -*- coding: utf-8 -*-
"""
Created on Fri Aug 18 08:01:41 2023
@author: Shamim Ahamed, RE AIMS Lab
"""
import streamlit as st
import pandas as pd
from tqdm.cli import tqdm
import numpy as np
import requests
import pandas as pd
from tqdm import tqdm
def get_user_data(api, parameters):
response = requests.post(f"{api}", json=parameters)
if response.status_code == 200:
return response.json()
else:
print(f"ERROR: {response.status_code}")
return None
st.set_page_config(page_title="SuSastho.AI Chatbot", page_icon="🚀", layout='wide')
st.markdown("""
<style>
p {
font-size:0.8rem !important;
}
textarea {
font-size: 0.8rem !important;
padding: 0.8rem 1rem 0.75rem 0.8rem !important;
}
button {
padding: 0.65rem !important;
}
.css-1lr5yb2 {
background-color: rgb(105 197 180) !important;
}
.css-1c7y2kd {
background-color: Transparent !important;
}
.css-4oy321 {
background-color: rgba(240, 242, 246, 0.5) !important;
}
</style>
""", unsafe_allow_html=True)
st.markdown("""
<style>
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
</style>
""",unsafe_allow_html=True)
model_names = {
'BLOOM 7B': 'bloom-7b',
}
with st.sidebar:
st.title("SuSastho.AI - ChatBot 🚀")
model_name = model_names[st.selectbox('Model', list(model_names.keys()), 0)]
max_ctx = st.slider('Select Top N Context', min_value=1, max_value=6, value=4, step=1)
# ctx_checker_tmp = st.slider('Context Checker Sensitivity', min_value=0.001, max_value=1.0, value=0.008, step=0.001)
ctx_checker_tmp = 0.008
lm_tmp = st.slider('Language Model Sensitivity', min_value=0.001, max_value=1.0, value=0.1, step=0.001)
endpoint = st.secrets["LLMEndpoint"]
def main():
if model_name == 'None':
st.markdown('##### Please select a model.')
return
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = [{"role": 'assistant', "content": 'হ্যালো! আমি একটি এআই অ্যাসিস্ট্যান্ট। কীভাবে সাহায্য করতে পারি? 😊'}]
# Display chat messages from history on app rerun
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Accept user input
if prompt := st.chat_input("এখানে মেসেজ লিখুন"):
# Display user message in chat message container
with st.chat_message("user"):
st.markdown(prompt)
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": prompt})
## Get context
params = {
"chat_history": [
{"content": prompt}
],
"model": "bloom-7b",
"mode": "specific",
"config": {
"ctx_checker_tmp": ctx_checker_tmp,
"lm_tmp": lm_tmp,
"max_ctx": max_ctx,
}
}
resp = get_user_data(endpoint, params)
if resp == None:
st.markdown('#### INTERNAL ERROR')
return
response = resp['data']['responses'][0]['content']
context = resp['data']['logs']['content']['retrival_model']['matched_doc']
clen = len(context)
context = '\n\n===============================\n\n'.join(context)
response = f'###### Config: Context Checker Value: {ctx_checker_tmp}, LM Value: {lm_tmp}\n\n##### Matched Context: {clen}\n{context}\n\n##### Response:\n{response}'
# Display assistant response in chat message container
with st.chat_message("assistant", avatar=None):
st.markdown(response)
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": response})
def app_viewport():
passw = st.empty()
appc = st.container()
if 'logged_in' not in st.session_state:
with passw.container():
secret = st.text_input('Please Enter Access Code')
if st.button("Submit", type='primary'):
if secret == st.secrets["login_secret"]:
passw.empty()
st.session_state['logged_in'] = True
else:
st.error('Wrong Access Code.')
if 'logged_in' in st.session_state and st.session_state['logged_in'] == True:
with appc:
main()
if __name__ == '__main__':
app_viewport()
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