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# import gradio as gr
# def greet(name):
# return "Hello " + name + "!!"
# iface.launch()
import gradio as gr
import random
import time
import os
import openai
from datetime import datetime
import json
openai.api_key = ''
def send_openai_query(query):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": query}
] ,
# prompt=query,
temperature=0,
max_tokens=500,
top_p=1.0,
frequency_penalty=0.0,
presence_penalty=0.0,
# stop=["\n"]
)
return response['choices'][0]['message']['content']
with gr.Blocks() as demo:
gptkey = gr.Textbox(placeholder='input your chatGPT key', show_label=False)
chatbot = gr.Chatbot(elem_id="chatbot", show_label=False).style(height=300)
msg = gr.Textbox(show_label=False, placeholder='Input your query to chatGPT')
clear = gr.Button("Clear")
def user(user_message, gptkey, history):
if openai.api_key == '':
openai.api_key = gptkey.strip(' \r\n')
# print(f'FROM USER=<{openai.api_key}>')
return "", "Key accepted", history + [[user_message, '']]
def bot(history):
# print("HIST=", history)
query = history[-1][0]
# print(f'QUERY=<{query}>')
try:
result = send_openai_query(query)
except Exception as e:
result = 'Что-то пошло не так на стороне ChatGPT. Попробуйте повторить запрос'
# print(f'RESULT=<{result}>')
now = datetime.now()
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
d = {'time': dt_string,
'query': query,
'result': result}
d_json = json.dumps(d, ensure_ascii=False)
with open('logs/results.ndjson', 'a') as f:
f.write(d_json + '\r\n')
history[-1][1] = ''
for character in result:
history[-1][1] += character
time.sleep(0.02)
yield history
msg.submit(user, [msg, gptkey, chatbot], [msg, gptkey, chatbot], queue=False).then(
bot, chatbot, chatbot
)
clear.click(lambda: None, None, chatbot, queue=False)
demo.queue()
demo.launch() |