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| from typing import List, Tuple, Dict, Any | |
| import time | |
| import json | |
| import requests | |
| import gradio as gr | |
| import poe | |
| import os | |
| with open('config.json', 'r') as f: | |
| config = json.load(f) | |
| max_questions_count = config['MAX_QUESTIONS_COUNT'] | |
| max_tags_count = config['MAX_TAGS_COUNT'] | |
| max_attempts = config['MAX_ATTEMPS'] | |
| wait_time = config['WAIT_TIME'] | |
| chatgpt_url = config['CHATGPT_URL'] | |
| system_prompt = config['SYSTEM_PROMPT'] | |
| use_sage = config['USE_SAGE'] | |
| sage_token = os.environ['SAGE_TOKEN'] | |
| def get_answer(question: str, client: poe.Client=None) -> Dict[str, Any]: | |
| if use_sage: | |
| for chunk in client.send_message('capybara', question, with_chat_break=True): | |
| pass | |
| client.delete_message(chunk['messageId']) | |
| return { | |
| 'status': True, | |
| 'content': chunk['text'] | |
| } | |
| headers = { | |
| 'Content-Type': 'application/json; charset=utf-8' | |
| } | |
| payload = { | |
| 'model': 'gpt-3.5-turbo', | |
| 'messages': [ | |
| { | |
| 'role': 'system', | |
| 'content': system_prompt | |
| }, | |
| { | |
| '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_and_get_tags(tags: str) -> List[str]: | |
| if not tags.strip(): | |
| raise gr.Error('Validation error. It is necessary to set at least one tag') | |
| tags = [tag.strip() for tag in tags.split('\n') if tag.strip()] | |
| if len(tags) > max_tags_count: | |
| raise gr.Error(f'Validation error. The maximum allowed number of tags is {max_tags_count}.') | |
| return tags | |
| def validate_and_get_questions(questions: str) -> List[str]: | |
| if not questions.strip(): | |
| raise gr.Error('Validation error. It is necessary to ask at least one question') | |
| questions = [question.strip() for question in questions.split('\n') if question.strip()] | |
| if len(questions) > max_questions_count: | |
| raise gr.Error(f'Validation error. The maximum allowed number of questions is {max_questions_count}.') | |
| return questions | |
| def find_answers(tags: str, questions: str, progress=gr.Progress()) -> str: | |
| tags = validate_and_get_tags(tags) | |
| questions = validate_and_get_questions(questions) | |
| print(f'New attempt to get answers. Got {len(tags)} tags and {len(questions)} questions') | |
| print(f'Tags: {tags}') | |
| print(f'Questions: {questions}') | |
| tags_str = ''.join([f'[{tag}]' for tag in tags]) | |
| if use_sage: | |
| client = poe.Client(sage_token) | |
| results = [] | |
| for question in progress.tqdm(questions): | |
| time.sleep(wait_time) | |
| tagged_question = f'{tags_str} {question}' | |
| for attempt in range(max_attempts): | |
| answer = get_answer(tagged_question, client) | |
| if answer['status']: | |
| results.append((question, answer['content'])) | |
| break | |
| elif attempt == max_attempts - 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=f'Enter tags (each line is a separate tag). Maximum: {max_tags_count}.', | |
| placeholder='.NET\nC#', | |
| lines=max_tags_count | |
| ) | |
| questions_input = gr.Textbox( | |
| label=f'Enter questions (each line is a separate question). Maximum: {max_questions_count}.', | |
| placeholder='What is inheritance, encapsulation, abstraction, polymorphism?\nWhat is CLR?', | |
| lines=max_questions_count | |
| ) | |
| 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() |