app.py

from typing import List, Tuple, Dict, Any
import time
import json
import requests
import gradio as gr
from gradio.components import Textbox

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: str) -> Dict[str, Any]:
    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: List[Tuple[str, str]]) -> str:
    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: str) -> None:
    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: str) -> None:
    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: str, questions: str, progress=gr.Progress()) -> str:
    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 progress.tqdm(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)

title = '<h1 style="text-align:center">AnswerMate</h1>'

with gr.Blocks(theme='soft', title='AnswerMate') as blocks:
    gr.HTML(title)
    gr.Markdown('The service allows you to get answers to all questions on the specified topic.')
    with gr.Row():
        tags_input = gr.Textbox(
            label='Enter tags (each line is a separate tag). Maximum: 5.', 
            placeholder='.Net\nC#', 
            lines=5)
        questions_input = gr.Textbox(
            label='Enter questions (each line is a separate question). Maximum 25.', 
            placeholder='What is inheritance, encapsulation, abstraction, polymorphism?\nWhat is CLR?', 
            lines=25)
    process_button = gr.Button('Find answers')
    outputs = gr.Textbox(label='Output', placeholder='Output will appear here')
    process_button.click(fn=find_answers, inputs=[tags_input, questions_input], outputs=outputs)

blocks.queue(concurrency_count=1).launch()