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import gradio as gr
from gradio.components import Textbox
import requests
import json
import time
MAX_QUESTIONS_COUNT = 25
MAX_TAGS_COUNT = 5
MAX_ATTEMPS = 3
WAIT_TIME = 3
CHATGPT_URL = 'https://free.churchless.tech/v1/chat/completions'
def get_answer(question):
headers = {
'Content-Type': 'application/json; charset=utf-8'
}
payload = {
'model': 'gpt-3.5-turbo',
'messages': [{
'role': 'user',
'content': question
}]
}
try:
response = requests.post(CHATGPT_URL, headers=headers, data=json.dumps(payload))
response.raise_for_status()
content = response.json()['choices'][0]['message']['content']
return {
'status': True,
'content': content
}
except:
return {
'status': False
}
def format_results(results):
output = ""
for i, (question, answer) in enumerate(results):
output += f'Question №{i+1}: {question}\n'
output += f'Answer: {answer}\n'
if i < len(results) - 1:
output += '--------------------------------------\n\n'
output = output.strip()
return output
def validate_tags(tags):
if not tags:
raise gr.Error('Validation error. It is necessary to set at least one tag')
if len(tags) > MAX_TAGS_COUNT:
raise gr.Error(f'Validation error. The maximum allowed number of tags is {MAX_TAGS_COUNT}.')
def validate_questions(questions):
if not questions:
raise gr.Error('Validation error. It is necessary to ask at least one question')
if len(questions) > MAX_QUESTIONS_COUNT:
raise gr.Error(f'Validation error. The maximum allowed number of questions is {MAX_QUESTIONS_COUNT}.')
def find_answers(tags, questions):
tags = tags.split('\n')
questions = questions.split('\n')
validate_tags(tags)
validate_questions(questions)
tags_str = ''.join([f'[{tag}]' for tag in tags])
results = []
for question in questions:
tagged_question = f'{tags_str} {question}'
for attempt in range(MAX_ATTEMPS):
answer = get_answer(tagged_question)
if answer['status']:
results.append((question, answer['content']))
break
elif attempt == MAX_ATTEMPS - 1:
results.append((question, 'An error occurred while receiving data.'))
else:
time.sleep(WAIT_TIME)
return format_results(results)
inputs = [
Textbox(label='Enter tags (each line is a separate tag). Maximum: 5.', lines=5),
Textbox(label='Enter questions (each line is a separate question). Maximum 25.', lines=25)
]
outputs = [
Textbox(label='Answers')
]
title = 'AnswerMate'
description = 'The service allows you to get answers to all questions on the specified topic.'
gradio_interface = gr.Interface(
theme='soft',
title=title,
description=description,
fn=find_answers,
inputs=inputs,
outputs=outputs)
gradio_interface.launch() |