llm_test / app.py
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Update app.py
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import os
import gradio as gr
import pandas as pd
from src.brain import generate_answers
processing = False
data = pd.read_csv('anomalies.csv')
def response(query, history):
global processing
processing = True
prompt = f"Analyze the following data to answer the question: {data.head().to_string(index=False)}\nQuestion: {query}\nAnswer:"
output = generate_answers(prompt)
history.append((query, output))
processing = False
return "", history
def loading():
return "Carregando ..."
with gr.Blocks() as app:
with gr.Column(elem_id="column_container"):
chatbot = gr.Chatbot([], elem_id="chatbot")
with gr.Column():
send = gr.Label(value="Escreva sua QUESTÃO abaixo e pressione ENTER")
query = gr.Textbox(
label="Escreva sua questão aqui:",
placeholder="Sobre o que você quer saber?",
)
clear = gr.ClearButton([query, chatbot])
query.submit(response, [query, chatbot], [query, chatbot], queue=True)
app.launch()