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from fastapi import FastAPI, Request
from fastapi.responses import PlainTextResponse
import requests
app = FastAPI()
# Dicionário para armazenar o histórico de conversas
conversation_histories = {}
API_URL = "https://fabiosantos-ia.hf.space/api/v1/prediction/a953ea1b-ee34-4ae3-9b25-b82c814dd871"
def query(payload):
response = requests.post(API_URL, json=payload) #envia a pergunta pelo url da api para a IA
return response.json() #guarda a resposta
@app.post("/whatsapp") #endpoint do twilio
async def reply_whatsapp(request: Request): #recebe a mensagem do usuario
form = await request.form()
incoming_msg = form.get('Body', '').lower() #guarda a mensagem do usuario
from_number = form.get('From')
print(incoming_msg)
print(from_number)
# Get the user's conversation history, if it exists
user_history = conversation_histories.get(from_number, [])
output = query({
"question": incoming_msg, #leva o que usuario falou para IA pela função query
})
return PlainTextResponse(output['text'], status_code=200)
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