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Podsumuj filmy z YouTube i porozmawiaj o treści za pomocą GPT-4o-mini za pośrednictwem Telegramu

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Summarize YouTube Videos & Chat About Content with GPT-4o-mini via Telegram

Ten szablon automatyzacji n8n umożliwia generowanie streszczeń transkrypcji filmów z YouTube oraz interakcję z treścią poprzez chatbot AI w Telegramie. Wykorzystuje model GPT-4o-mini do tworzenia podsumowań i odpowiadania na pytania dotyczące zawartości wideo.

Jak to działa

Proces składa się z czterech głównych etapów:

  • Wejście: Workflow rozpoczyna się od otrzymania linku do filmu YouTube, który można przesłać przez wiadomość w Telegramie lub webhook.
  • Ekstrakcja transkrypcji: Link jest przetwarzany w celu wyciągnięcia transkrypcji za pomocą węzła youtubeTranscripter. Tekst jest zapisywany w dokumencie Google Docs.
  • Generowanie podsumowania: Model AI analizuje transkrypcję i tworzy strukturyzowane podsumowanie zawierające przegląd ogólny, kluczowe momenty oraz instrukcje (jeśli dotyczy).
  • Interaktywny Q&A: Użytkownicy mogą zadawać pytania dotyczące filmu poprzez Telegram, a AI generuje odpowiedzi na podstawie zapisanej transkrypcji.

Instrukcja konfiguracji

Aby skonfigurować workflow:

  1. Zaimportuj szablon do swojej instancji n8n
  2. Zainstaluj węzeł youtubeTranscripter poprzez komendę npm
  3. Skonfiguruj poszczególne węzły:
    • Webhook lub Telegram do odbierania linków
    • Google Docs do zapisu transkrypcji
    • Model AI do generowania podsumowań
  4. Przetestuj workflow wysyłając link do filmu

Dostosowanie

Szablon można modyfikować na kilka sposobów:

  • Zmiana języka podsumowań i odpowiedzi
  • Dostosowanie formatu wyjściowego podsumowania
  • Wymiana węzła Telegram na inną metodę wprowadzania danych

Przykłady zastosowań

Ta automatyzacja znajduje zastosowanie w wielu scenariuszach, ułatwiając pracę z treściami wideo. Oto kilka praktycznych przykładów:

  • Twórcy treści mogą szybko generować streszczenia swoich filmów do celów promocyjnych
  • Studenci mogą efektywnie przyswajać materiały edukacyjne bez konieczności oglądania całych wykładów
  • Badacze mogą analizować duże ilości materiałów wideo w krótszym czasie
  • Zespoły marketingowe mogą monitorować konkurencję poprzez analizę ich treści wideo
  • Dziennikarze mogą szybko przeglądać materiały w poszukiwaniu kluczowych informacji
  • Firmy szkoleniowe mogą tworzyć skróty materiałów szkoleniowych dla pracowników
  • Entuzjaści nauki mogą efektywnie przeglądać duże ilości treści popularnonaukowych

Rozwiązywany problem

Ta automatyzacja znacząco upraszcza proces konsumpcji treści wideo poprzez:

  • Automatyczne wyciąganie kluczowych punktów z filmów
  • Umożliwienie interaktywnego zadawania pytań bez konieczności ponownego oglądania materiału
  • Oszczędzanie czasu użytkowników poprzez dostarczanie skondensowanych informacji

Dodatkowe uwagi

Warto pamiętać, że:

  • Węzeł youtubeTranscripter wymaga samodzielnie hostowanej instancji n8n
  • Użytkownicy Apple mogą skorzystać z dedykowanego skrótu do udostępniania filmów
  • Dokładność podsumowań zależy od jakości transkrypcji i możliwości modelu AI

   Skopiuj kod szablonu   
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