Gemini Angular Integration | Angular 17 Integration | AI Integration | Angular Chatbot

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  • Опубликовано: 8 сен 2024
  • It seems like you're detailing the process of integrating the Gemini API into an Angular application to create a chatbot powered by AI. Here's a breakdown of the steps you've described:
    Github Link:
    github.com/sai...
    1. **Introduction to Gemini API Integration**:
    - You introduce the concept of integrating the Gemini API into an Angular application to create a chatbot.
    - You highlight that Gemini is a Google product competing with other chatbot services.
    2. **Setting Up Gemini API**:
    - Mention the need for npm installation for the Gemini AI.
    - Discuss obtaining the API Key from the Google API console for Gemini.
    3. **Creating UI Components**:
    - Showcasing the UI components created using Angular 17, such as the chat history placeholder and loading indicator.
    4. **Implementing Gemini Service**:
    - Use the Angular CLI to generate a service for handling interactions with the Gemini API.
    - Initialize the Gemini AI object with the obtained API key.
    - Implement methods for sending prompts to Gemini and receiving responses asynchronously.
    - Utilize async/await for handling asynchronous calls.
    5. **Binding UI with Service**:
    - Implement data binding to send user prompts to the Gemini service.
    - Subscribe to the response observable in the component to update the UI with the received messages.
    6. **Displaying Messages**:
    - Use NGFOR directive to iterate through the message history and display user and bot messages.
    - Apply conditional styling based on message origin (user or bot).
    7. **Handling User Input**:
    - Implement logic to send user prompts on button click or pressing enter.
    - Disable input and button while the system is processing the request to prevent multiple submissions.
    8. **Enhancements and Final Touches**:
    - Improve UI by handling message formatting and styling.
    - Disable autocomplete for the input field to prevent suggestions.
    9. **Error Handling and Finalizing**:
    - Ensure error handling and final touches like disabling input and buttons during loading.
    By following these steps, users can successfully integrate the Gemini API into their Angular applications to create chatbots powered by AI, providing interactive chat functionalities.
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Комментарии • 16

  • @tvsstark3856
    @tvsstark3856 Месяц назад +1

    😊😊🎉🎉🎉 very good learning. Thank you

  • @DineshGgoogle
    @DineshGgoogle 5 месяцев назад +1

    thanks

  • @pg.idrees
    @pg.idrees 5 месяцев назад +1

    Cool

  • @sharabugnanesh3098
    @sharabugnanesh3098 5 месяцев назад +1

    Useful

  • @viveksingla5110
    @viveksingla5110 5 месяцев назад +1

    keep going bro 💪 💪

  • @emretoprak9339
    @emretoprak9339 3 месяца назад +1

    scss code ?

    • @techshareskk
      @techshareskk  3 месяца назад

      I dint get you

    • @techshareskk
      @techshareskk  3 месяца назад

      github.com/saikorthivada/angular-tutorials/compare/gemini-integration?expand=1

  • @ahmedtrabelsi4962
    @ahmedtrabelsi4962 3 месяца назад

    could you push the code in github and give it to us

    • @techshareskk
      @techshareskk  3 месяца назад +1

      Oh Sure i think i should have that in Github let me check and will update you.

    • @AhmedTrabelsi-yk8pm
      @AhmedTrabelsi-yk8pm 3 месяца назад +1

      @@techshareskk thank you and please lien of your github

    • @techshareskk
      @techshareskk  3 месяца назад

      Will send you soon

    • @techshareskk
      @techshareskk  3 месяца назад

      github.com/saikorthivada/angular-tutorials/compare/gemini-integration?expand=1