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Update app.py
Browse files
app.py
CHANGED
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@@ -1,12 +1,32 @@
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class BasicAgent:
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def __init__(self):
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print("Инициализация агента...")
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self.model = InferenceClientModel(
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model_id=
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token=os.getenv("HF_TOKEN"),
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temperature=0.05,
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max_tokens=
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)
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tools = [
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@@ -15,7 +35,6 @@ class BasicAgent:
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PythonInterpreterTool(),
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]
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# Скачивание файлов (без изменений, но работает)
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@tool
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def download_file(url: str) -> str:
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"""
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@@ -84,20 +103,23 @@ class BasicAgent:
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tools=tools,
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model=self.model,
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add_base_tools=True,
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max_steps=
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)
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print("Агент готов!")
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def __call__(self, question: str) -> str:
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print(f"Вопрос: {question[:120]}...")
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if len(question) > 2500:
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question = question[:2500] + "\n[Обрезано из-за длины.]"
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q = question.lower()
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if any(k in q for k in [".mp3", "audio", "recording", "voice", "youtube.com", "video", "attached", "file", "excel", "pdf", "image", "jpg", "png"]):
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question += "\nЕсли есть URL или attached файл —
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if "chess" in q or "image" in q or ".jpg" in q or ".png" in q:
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question += "\nЕсли есть URL изображения — скачай и опиши позицию или ищи похожую. Не придумывай ход."
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@@ -105,6 +127,7 @@ class BasicAgent:
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result = self.agent.run(question)
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answer = str(result).strip()
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prefixes = [
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"Final Answer", "Final answer", "Answer:", "The answer is",
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"So the final answer is", "```", "boxed{", "}", "[/INST]", "</s>",
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@@ -119,16 +142,96 @@ class BasicAgent:
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answer = answer[1:-1].strip()
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answer = answer.strip()
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answer = answer[:150] + "..." if len(answer) > 150 else answer
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print(f"Ответ: {answer[:150]}...")
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return answer or "Нет ответа"
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except Exception as e:
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-
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if "402" in err_str or "Payment Required" in err_str:
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return "Лимит API исчерпан. Смени модель на Mixtral-8x7B или подожди."
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err = f"Ошибка: {err_str[:200]}"
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print(err)
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return err
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import os
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import gradio as gr
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import requests
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import pandas as pd
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from pathlib import Path
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from smolagents import (
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CodeAgent,
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InferenceClientModel,
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DuckDuckGoSearchTool,
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VisitWebpageTool,
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PythonInterpreterTool,
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tool
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)
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from pypdf import PdfReader
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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MODEL_ID = "Qwen/Qwen2.5-32B-Instruct"
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class BasicAgent:
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def __init__(self):
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print("Инициализация агента...")
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self.model = InferenceClientModel(
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model_id=MODEL_ID,
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token=os.getenv("HF_TOKEN"),
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temperature=0.05,
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max_tokens=1024,
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)
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tools = [
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PythonInterpreterTool(),
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]
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@tool
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def download_file(url: str) -> str:
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"""
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tools=tools,
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model=self.model,
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add_base_tools=True,
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max_steps=18,
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)
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print("Агент готов!")
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def __call__(self, question: str) -> str:
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print(f"Вопрос: {question[:120]}...")
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# Обрезка длинных вопросов
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if len(question) > 2500:
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question = question[:2500] + "\n[Обрезано из-за длины.]"
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# Хак для файлов/видео/аудио/attached
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q = question.lower()
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if any(k in q for k in [".mp3", "audio", "recording", "voice", "youtube.com", "video", "attached", "file", "excel", "pdf", "image", "jpg", "png"]):
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question += "\nЕсли есть URL или attached файл — скачай, прочитай и отвечай только по фактам из него. Не придумывай числа, имена или данные."
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# Хак для шахмат
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if "chess" in q or "image" in q or ".jpg" in q or ".png" in q:
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question += "\nЕсли есть URL изображения — скачай и опиши позицию или ищи похожую. Не придумывай ход."
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result = self.agent.run(question)
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answer = str(result).strip()
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# Жёсткая очистка + защита от длинных ответов
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prefixes = [
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"Final Answer", "Final answer", "Answer:", "The answer is",
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"So the final answer is", "```", "boxed{", "}", "[/INST]", "</s>",
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answer = answer[1:-1].strip()
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answer = answer.strip()
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# Если ответ слишком длинный или подозрительный — обрезаем
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if len(answer) > 300 or "придум" in answer.lower() or answer.count(",") > 20:
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answer = answer[:150] + "..." if len(answer) > 150 else answer
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print(f"Ответ: {answer[:150]}...")
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return answer or "Нет ответа"
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except Exception as e:
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err = f"Ошибка: {str(e)[:200]}"
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print(err)
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return err
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# --- run_and_submit_all (без изменений) ---
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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space_id = os.getenv("SPACE_ID")
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if profile:
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username = profile.username
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print(f"Вход: {username}")
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else:
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return "Войдите в HF", None
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api_url = DEFAULT_API_URL
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questions_url = f"{api_url}/questions"
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submit_url = f"{api_url}/submit"
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try:
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agent = BasicAgent()
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except Exception as e:
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return f"Ошибка агента: {e}", None
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agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
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try:
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resp = requests.get(questions_url, timeout=15)
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resp.raise_for_status()
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questions = resp.json()
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if not questions:
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return "Вопросов нет", None
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print(f"Вопросов: {len(questions)}")
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except Exception as e:
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return f"О��ибка вопросов: {e}", None
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results = []
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payload = []
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for item in questions:
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tid = item.get("task_id")
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q = item.get("question")
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if not tid or not q:
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continue
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try:
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ans = agent(q)
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payload.append({"task_id": tid, "submitted_answer": ans})
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results.append({"Task ID": tid, "Question": q, "Answer": ans})
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except Exception as e:
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results.append({"Task ID": tid, "Question": q, "Answer": f"ERROR: {e}"})
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if not payload:
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return "Нет ответов", pd.DataFrame(results)
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data = {"username": username.strip(), "agent_code": agent_code, "answers": payload}
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try:
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resp = requests.post(submit_url, json=data, timeout=60)
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resp.raise_for_status()
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res = resp.json()
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status = (
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f"Успех!\n"
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f"Пользователь: {res.get('username')}\n"
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f"Балл: {res.get('score', 'N/A')}% "
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f"({res.get('correct_count', '?')}/{res.get('total_attempted', '?')})\n"
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f"{res.get('message', '')}"
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)
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return status, pd.DataFrame(results)
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except Exception as e:
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return f"Ошибка отправки: {e}", pd.DataFrame(results)
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# --- Gradio ---
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with gr.Blocks() as demo:
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gr.Markdown("# Агент для финального задания")
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gr.Markdown("""
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1. Клонируй и дорабатывай.
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2. Войди через кнопку.
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3. Нажми кнопку — увидишь score.
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""")
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gr.LoginButton()
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btn = gr.Button("Запустить оценку и отправить")
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status = gr.Textbox(label="Результат", lines=6)
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table = gr.DataFrame(label="Ответы", wrap=True)
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btn.click(run_and_submit_all, outputs=[status, table])
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if __name__ == "__main__":
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print("Запуск...")
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demo.launch(debug=True, share=False)
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