Assistant: 
User: {'content_type': 'text', 'id': 565, 'message_id': 565, 'from_user': {'id': 5389633807, 'is_bot': False, 'first_name': 'Мистер', 'username': 'Tima_Kholod', 'last_name': 'Х', 'language_code': 'ru', 'can_join_groups': None, 'can_read_all_group_messages': None, 'supports_inline_queries': None, 'is_premium': None, 'added_to_attachment_menu': None}, 'date': 1728196551, 'chat': {'id': 5389633807, 'type': 'private', 'title': None, 'username': 'Tima_Kholod', 'first_name': 'Мистер', 'last_name': 'Х', 'is_forum': None, 'photo': None, 'bio': None, 'join_to_send_messages': None, 'join_by_request': None, 'has_private_forwards': None, 'has_restricted_voice_and_video_messages': None, 'description': None, 'invite_link': None, 'pinned_message': None, 'permissions': None, 'slow_mode_delay': None, 'message_auto_delete_time': None, 'has_protected_content': None, 'sticker_set_name': None, 'can_set_sticker_set': None, 'linked_chat_id': None, 'location': None, 'active_usernames': None, 'emoji_status_custom_emoji_id': None, 'has_hidden_members': None, 'has_aggressive_anti_spam_enabled': None, 'emoji_status_expiration_date': None}, 'sender_chat': None, 'forward_from': None, 'forward_from_chat': None, 'forward_from_message_id': None, 'forward_signature': None, 'forward_sender_name': None, 'forward_date': None, 'is_automatic_forward': None, 'reply_to_message': None, 'via_bot': None, 'edit_date': None, 'has_protected_content': None, 'media_group_id': None, 'author_signature': None, 'text': 'from words import words, words_with_activation\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom sklearn.metrics.pairwise import cosine_similarity\nimport commands\ndef find_similar_phrase(phrases, task):\n    vectorizer = CountVectorizer()\n\n    X = vectorizer.fit_transform(phrases)\n\n    task_vector = vectorizer.transform([task])\n\n    cosine_similarities = cosine_similarity(task_vector, X)\n\n    most_similar_index = cosine_similarities.argmax()\n\n    # Return the most similar phrase and its similarity score\n    return phrases[most_similar_index], cosine_similarities[0][most_similar_index]\n\n\n# Example usage:\nbrowser = ""\ngetweather = "560525279b9fe3a34a3df223c9309cec"\nphrases = words\ntask =""\nname = "джарвис"\ndef do_task(task):\n\n        if name in task:\n            similar_phrase, similarity_score = find_similar_phrase(phrases + words_with_activation, task)\n            similarity_score = 1\n            print(f"Most similar phrase: \'{similar_phrase=}\' with a similarity score of {similarity_score=}")\n        else:\n            similar_phrase, similarity_score = find_similar_phrase(phrases, task)\n            similarity_score = float(f"{similarity_score:.4f}")\n            print(f"Most similar phrase: \'{similar_phrase=}\' with a similarity score of {similarity_score=}")\n        if similarity_score >= 0.5:\n            command_name = similar_phrase.split(\' \')[0]\n            command_func = getattr(commands, command_name)\n            command_func(browser, getweather, task)\n\n\ndo_task(task="интересно какая погода")\nчто в этом коде не так', 'entities': None, 'caption_entities': None, 'audio': None, 'document': None, 'photo': None, 'sticker': None, 'video': None, 'video_note': None, 'voice': None, 'caption': None, 'contact': None, 'location': None, 'venue': None, 'animation': None, 'dice': None, 'new_chat_member': None, 'new_chat_members': None, 'left_chat_member': None, 'new_chat_title': None, 'new_chat_photo': None, 'delete_chat_photo': None, 'group_chat_created': None, 'supergroup_chat_created': None, 'channel_chat_created': None, 'migrate_to_chat_id': None, 'migrate_from_chat_id': None, 'pinned_message': None, 'invoice': None, 'successful_payment': None, 'connected_website': None, 'reply_markup': None, 'message_thread_id': None, 'is_topic_message': None, 'forum_topic_created': None, 'forum_topic_closed': None, 'forum_topic_reopened': None, 'has_media_spoiler': None, 'forum_topic_edited': None, 'general_forum_topic_hidden': None, 'general_forum_topic_unhidden': None, 'write_access_allowed': None, 'user_shared': None, 'chat_shared': None, 'story': None, 'json': {'message_id': 565, 'from': {'id': 5389633807, 'is_bot': False, 'first_name': 'Мистер', 'last_name': 'Х', 'username': 'Tima_Kholod', 'language_code': 'ru'}, 'chat': {'id': 5389633807, 'first_name': 'Мистер', 'last_name': 'Х', 'username': 'Tima_Kholod', 'type': 'private'}, 'date': 1728196551, 'text': 'from words import words, words_with_activation\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom sklearn.metrics.pairwise import cosine_similarity\nimport commands\ndef find_similar_phrase(phrases, task):\n    vectorizer = CountVectorizer()\n\n    X = vectorizer.fit_transform(phrases)\n\n    task_vector = vectorizer.transform([task])\n\n    cosine_similarities = cosine_similarity(task_vector, X)\n\n    most_similar_index = cosine_similarities.argmax()\n\n    # Return the most similar phrase and its similarity score\n    return phrases[most_similar_index], cosine_similarities[0][most_similar_index]\n\n\n# Example usage:\nbrowser = ""\ngetweather = "560525279b9fe3a34a3df223c9309cec"\nphrases = words\ntask =""\nname = "джарвис"\ndef do_task(task):\n\n        if name in task:\n            similar_phrase, similarity_score = find_similar_phrase(phrases + words_with_activation, task)\n            similarity_score = 1\n            print(f"Most similar phrase: \'{similar_phrase=}\' with a similarity score of {similarity_score=}")\n        else:\n            similar_phrase, similarity_score = find_similar_phrase(phrases, task)\n            similarity_score = float(f"{similarity_score:.4f}")\n            print(f"Most similar phrase: \'{similar_phrase=}\' with a similarity score of {similarity_score=}")\n        if similarity_score >= 0.5:\n            command_name = similar_phrase.split(\' \')[0]\n            command_func = getattr(commands, command_name)\n            command_func(browser, getweather, task)\n\n\ndo_task(task="интересно какая погода")\nчто в этом коде не так'}}
Assistant: