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import gradio as gr | |
import requests | |
import json | |
import os | |
def generate(description, model, max_tokens): | |
headers = { | |
'Content-Type': 'application/json', | |
'Authorization': f'Bearer {os.getenv("API_KEY")}' | |
} | |
payload = { | |
'messages': [{'role': 'system', 'content': f'{description}'}], | |
'max_tokens': max_tokens, | |
'model': model | |
} | |
response = requests.post(os.getenv("BASE_URL"), headers=headers, json=payload) | |
data = json.loads(response.text) | |
if 'choices' in data and len(data['choices']) > 0: | |
command = data['choices'][0]['message']['content'].strip() | |
return command | |
elif 'error' in data: | |
error_message = data['error']['message'] | |
return f'Ошибка: {error_message}' | |
else: | |
return f'Не удалось сгенерировать текст. {data}' | |
iface = gr.Interface(fn=generate, inputs=[ | |
gr.Textbox(label="Запрос"), | |
gr.Radio(show_label=True, label="Модель", interactive=True, choices=["gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-4"], value="gpt-3.5-turbo"), | |
gr.Slider(show_label=True, label="Максимум токенов", minimum=100, maximum=15000, value=10000, step=1) | |
], outputs=gr.Textbox(label="Ответ"), title="EasyGPT") | |
iface.launch() |