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import gradio as gr | |
import requests | |
import os | |
import json | |
api_key = os.getenv('API_KEY') | |
def call_mistral_7b_api(content, system_prompt, temperature, top_p, max_tokens): | |
invoke_url = "https://api.nvcf.nvidia.com/v2/nvcf/pexec/functions/8f4118ba-60a8-4e6b-8574-e38a4067a4a3" | |
headers = { | |
"Authorization": f"Bearer {api_key}", | |
"accept": "text/event-stream", | |
"content-type": "application/json", | |
} | |
payload = { | |
"messages": [ | |
{"role": "system", "content": system_prompt}, | |
{"role": "user", "content": content} | |
], | |
"temperature": temperature, | |
"top_p": top_p, | |
"max_tokens": max_tokens, | |
"stream": True | |
} | |
response = requests.post(invoke_url, headers=headers, json=payload, stream=True) | |
if response.status_code != 200: | |
print(f"Erro na requisição: {response.status_code}") | |
try: | |
error_details = response.json() | |
print(error_details) | |
except ValueError: | |
print(response.text) | |
else: | |
response_text = "" | |
for line in response.iter_lines(): | |
if line: | |
decoded_line = line.decode('utf-8').strip() | |
if decoded_line.startswith('data: {'): | |
json_str = decoded_line[6:] | |
try: | |
json_line = json.loads(json_str) | |
content_parts = json_line.get("choices", [{}])[0].get("delta", {}).get("content", "") | |
response_text += content_parts | |
except json.JSONDecodeError as e: | |
print(f"Erro ao decodificar JSON: {e}") | |
print(f"Linha problemática: {decoded_line}") | |
elif decoded_line == 'data: [DONE]': | |
print("Recebido sinal de conclusão da API.") | |
break | |
else: | |
print(f"Linha ignorada (não é JSON ou sinal de conclusão): {decoded_line}") | |
return response_text | |
content_input = gr.Textbox(lines=2, placeholder="Enter your content here...", label="Content") | |
system_prompt_input = gr.Textbox(value="I carefully provide accurate, factual, thoughtful, nuanced answers and am brilliant at reasoning.", label="System Prompt") | |
temperature_input = gr.Slider(minimum=0, maximum=1, step=0.01, value=0.2, label="Temperature") | |
top_p_input = gr.Slider(minimum=0, maximum=1, step=0.01, value=0.7, label="Top P") | |
max_tokens_input = gr.Slider(minimum=1, maximum=1024, step=1, value=1024, label="Max Tokens") | |
iface = gr.Interface(fn=call_mistral_7b_api, | |
inputs=[content_input, system_prompt_input, temperature_input, top_p_input, max_tokens_input], | |
outputs="text", | |
title="Mixtral 8x7B Instruct Free Demo", | |
description="Explore the capabilities of Mixtral 8x7B Instruct Free Demo" | |
) | |
iface.launch() | |