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import streamlit as st
import pandas as pd
import torch
from transformers import pipeline
import datetime
#from datasets import load_dataset
#dataset = load_dataset("wikitablequestions", trust_remote_code=True)
#item = dataset["test"][10] # show first test example
#def to_pandas(item):
#return pd.DataFrame(item['table']["rows"], columns=item['table']["header"])
#df = to_pandas(item)
#print(df.head())
df = pd.read_csv("anomalies.csv",quotechar='"',dtype={col: str for col in pd.read_csv('anomalies.csv', nrows=1)})
df = df.fillna('').astype(str)
# Function to generate a response using the TAPEX model
def response(user_question, df):
a = datetime.datetime.now()
tqa = pipeline(task="table-question-answering", model="google/tapas-large-finetuned-wtq")
print("DataFrame shape:", df.shape)
print("DataFrame head:\n", df.head())
print("User question:", user_question)
answer = tqa(table=df, query=user_question)['answer']
query_result = {
"Resposta": answer
}
b = datetime.datetime.now()
print(b - a)
return query_result
# 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 human emoji when user asks a question
st.session_state['history'].append(('👤', user_question))
st.markdown(f"**👤 {user_question}**")
# Generate the response
bot_response = response(user_question, df)["Resposta"]
# 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) |