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Upload app.py

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  1. app.py +142 -0
app.py ADDED
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+ # -*- coding: utf-8 -*-
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+ """
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+ Created on Fri Aug 18 08:01:41 2023
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+
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+ @author: Shamim Ahamed, RE AIMS Lab
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+ """
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+
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+ import streamlit as st
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+ import pandas as pd
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+ from tqdm.cli import tqdm
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+ import numpy as np
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+ import requests
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+ import pandas as pd
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+ from tqdm import tqdm
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+
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+
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+ def get_user_data(api, parameters):
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+ response = requests.post(f"{api}", json=parameters)
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+ if response.status_code == 200:
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+ return response.json()
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+ else:
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+ print(f"ERROR: {response.status_code}")
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+ return None
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+
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+
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+
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+ st.set_page_config(page_title="SuSastho.AI Chatbot", page_icon="🚀", layout='wide')
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+
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+ st.markdown("""
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+ <style>
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+ p {
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+ font-size:0.8rem !important;
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+ }
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+ textarea {
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+ font-size: 0.8rem !important;
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+ padding: 0.8rem 1rem 0.75rem 0.8rem !important;
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+ }
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+ button {
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+ padding: 0.65rem !important;
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+ }
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+
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+ .css-1lr5yb2 {
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+ background-color: rgb(105 197 180) !important;
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+ }
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+
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+
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+ .css-1c7y2kd {
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+ background-color: Transparent !important;
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+ }
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+ .css-4oy321 {
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+ background-color: rgba(240, 242, 246, 0.5) !important;
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+ }
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+
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+ </style>
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+ """, unsafe_allow_html=True)
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+
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+ st.markdown("""
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+ <style>
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+ #MainMenu {visibility: hidden;}
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+ footer {visibility: hidden;}
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+ </style>
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+ """,unsafe_allow_html=True)
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+
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+
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+ model_names = {
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+ 'BLOOM 7B': 'bloom-7b',
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+ }
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+
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+
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+
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+ with st.sidebar:
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+ st.title("SuSastho.AI - ChatBot 🚀")
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+ model_name = model_names[st.selectbox('Model', list(model_names.keys()), 0)]
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+
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+ ctx_checker_tmp = st.slider('Context Checker Sensitivity', min_value=0.001, max_value=1.0, value=0.008, step=0.001)
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+ lm_tmp = st.slider('Language Model Sensitivity', min_value=0.001, max_value=1.0, value=0.1, step=0.001)
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+
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+
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+
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+
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+ endpoint = st.secrets["LLMEndpoint"]
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+
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+
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+ def main():
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+ if model_name == 'None':
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+ st.markdown('##### Please select a model.')
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+ return
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+
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+ # Initialize chat history
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+ if "messages" not in st.session_state:
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+ st.session_state.messages = [{"role": 'assistant', "content": 'হ্যালো! আমি একটি এআই অ্যাসিস্ট্যান্ট। কীভাবে সাহায্য করতে পারি? 😊'}]
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+
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+ # Display chat messages from history on app rerun
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+ for message in st.session_state.messages:
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+ with st.chat_message(message["role"]):
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+ st.markdown(message["content"])
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+
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+
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+ # Accept user input
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+ if prompt := st.chat_input("এখানে মেসেজ লিখুন"):
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+ # Display user message in chat message container
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+ with st.chat_message("user"):
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+ st.markdown(prompt)
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+ # Add user message to chat history
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+ st.session_state.messages.append({"role": "user", "content": prompt})
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+
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+
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+ ## Get context
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+ params = {
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+ "chat_history": [
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+ {"content": prompt}
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+ ],
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+ "model": "bloom-7b",
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+ "mode": "specific",
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+ "config": {
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+ "ctx_checker_tmp": ctx_checker_tmp,
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+ "lm_tmp": lm_tmp,
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+ }
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+ }
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+ resp = get_user_data(endpoint, params)
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+ if resp == None:
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+ st.markdown('#### INTERNAL ERROR')
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+ return
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+
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+ response = resp['data']['responses'][0]['content']
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+ context = resp['data']['logs']['content']['retrival_model']['matched_doc']
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+
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+ clen = len(context)
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+ context = '\n\n===============================\n\n'.join(context)
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+
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+ 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}'
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+
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+ # Display assistant response in chat message container
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+ with st.chat_message("assistant", avatar=None):
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+ st.markdown(response)
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+
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+ # Add assistant response to chat history
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+ st.session_state.messages.append({"role": "assistant", "content": response})
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+
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+
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+
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+ main()