app.py

import gradio as gr
import requests
import os
import json

API_KEY = os.getenv('API_KEY')
INVOKE_URL = "https://api.nvcf.nvidia.com/v2/nvcf/pexec/functions/0e349b44-440a-44e1-93e9-abe8dcb27158"
FETCH_URL_FORMAT = "https://api.nvcf.nvidia.com/v2/nvcf/pexec/status/"

headers = {
 "Authorization": f"Bearer {API_KEY}",
 "Accept": "application/json",
 "Content-Type": "application/json",
}

BASE_SYSTEM_MESSAGE = "I carefully provide accurate, factual, thoughtful, nuanced answers and am brilliant at reasoning."

def call_nvidia_api(message, history_api, system_message, max_tokens, temperature, top_p):
 messages = []
 if system_message: # Adiciona a mensagem do sistema, se houver
 messages.append({"role": "system", "content": system_message})
 # Adiciona as mensagens do histórico
 for msg in history_api:
 messages.append({"role": "user", "content": msg[0]})
 if msg[1]: # Garante que não adicionamos respostas vazias
 messages.append({"role": "assistant", "content": msg[1]})

 # Adiciona a mensagem atual do usuário
 messages.append({"role": "user", "content": message})

 payload = {
 "messages": messages,
 "temperature": temperature,
 "top_p": top_p,
 "max_tokens": max_tokens,
 "stream": False
 }

 session = requests.Session()
 response = session.post(INVOKE_URL, headers=headers, json=payload)
 while response.status_code == 202:
 request_id = response.headers.get("NVCF-REQID")
 fetch_url = FETCH_URL_FORMAT + request_id
 response = session.get(fetch_url, headers=headers)
 response.raise_for_status()
 response_body = response.json()

 if response_body.get("choices"):
 assistant_message = response_body["choices"][0]["message"]["content"]
 return assistant_message
 else:
 return "Desculpe, ocorreu um erro ao gerar a resposta."


def chatbot_function(message, history_api, system_message, max_tokens, temperature, top_p):
 assistant_message = call_nvidia_api(message, history_api, system_message, max_tokens, temperature, top_p)
 history_api.append([message, assistant_message])
 return assistant_message, history_api

system_msg = gr.Textbox(BASE_SYSTEM_MESSAGE, label="System Message", placeholder="System prompt.", lines=5)
max_tokens = gr.Slider(20, 1024, label="Max Tokens", step=20, value=1024)
temperature = gr.Slider(0.0, 1.0, label="Temperature", step=0.1, value=0.2)
top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.7)

with gr.Blocks() as demo:
 chat_history_state = gr.State([])
 chat_interface = gr.ChatInterface(
 fn=chatbot_function,
 chatbot=gr.Chatbot(value=chat_history_state),
 additional_inputs=[system_msg, max_tokens, temperature, top_p],
 title="LLAMA 70B Free Demo",
 )

demo.launch()