import streamlit as st
import pandas as pd
import torch
from transformers import pipeline
from transformers import TapasTokenizer, TapasForQuestionAnswering

df = pd.read_excel('discrepantes.xlsx', index_col='Unnamed: 0')
df.fillna(0, inplace=True)
table_data = df.astype(str)
print(table_data.head())

def response(user_question, table_data):
    tokenizer = TapasTokenizer.from_pretrained("google/tapas-large-finetuned-wtq", drop_rows_to_fit=True)
    model = TapasForQuestionAnswering.from_pretrained("google/tapas-large-finetuned-wtq")

    inputs = tokenizer(table=table_data, queries=user_question, padding="max_length", truncation=True, return_tensors="pt")
    outputs = model(**inputs)

    predicted_answer_coordinates = outputs.predicted_answer_coordinates.detach().cpu().numpy()
    id2aggregation = {0: 'NONE', 1: 'SUM', 2: 'AVERAGE', 3: 'COUNT'}
    aggregation_predictions = id2aggregation[outputs.aggregation_predictions.detach().cpu().numpy()[0]]

    return predicted_answer_coordinates, aggregation_predictions

# Streamlit interface
st.markdown("""
<div style='display: flex; align-items: center;'>
    <div style='width: 40px; height: 40px; background-color: green; border-radius: 50%; margin-right: 5px;'></div>
    <div style='width: 40px; height: 40px; background-color: red; border-radius: 50%; margin-right: 5px;'></div>
    <div style='width: 40px; height: 40px; background-color: yellow; border-radius: 50%; margin-right: 5px;'></div>
    <span style='font-size: 40px; font-weight: bold;'>Chatbot do Tesouro RS</span>
</div>
""", unsafe_allow_html=True)

# Chat history
if 'history' not in st.session_state:
    st.session_state['history'] = []

# Input box for user question
user_question = st.text_input("Escreva sua questão aqui:", "")

if user_question:
    # Add person emoji when typing question
    st.session_state['history'].append(('👤', user_question))
    st.markdown(f"**👤 {user_question}**")
    
    # Generate the response
    bot_response = response(user_question, table_data)
    
    # Add robot emoji when generating response and align to the right
    st.session_state['history'].append(('🤖', bot_response))
    st.markdown(f"<div style='text-align: right'>**🤖 {bot_response}**</div>", unsafe_allow_html=True)

# Clear history button
if st.button("Limpar"):
    st.session_state['history'] = []

# Display chat history
for sender, message in st.session_state['history']:
    if sender == '👤':
        st.markdown(f"**👤 {message}**")
    elif sender == '🤖':
        st.markdown(f"<div style='text-align: right'>**🤖 {message}**</div>", unsafe_allow_html=True)