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Gemini Explorer

Mission

Create a chat interface using Streamlit and Google Gemini to explore large language chat models and their applications.

Requirments:

Task 1: Enabling Google Cloud

  • Go to the Google Cloud Platform and select "Get Started for free".
  • Sign in using your Google Account and complete the billing requirements.
  • Create a new project.
  • Navigation -> Artificial Intelligence -> Vertex AI -> Enable All Recommended APIs

Task 2: Google Cloud Initialization

  • Install the Google SDK using this link.
  • Run the following command to initialize the SDK: 
    gcloud init
  • Sign in using your Google Account credentials.
  • Select an existing project or Create a new project

Task 3: Setting up Google Gemini

  • Install the streamlit framework 
    pip install streamlit
  • In the project, we are using Gemini Pro as the LLM.
  • Use the project ID instead of the project name, like this: project = "project_id". This helps avoid encountering a 403 permission denied error.

Task 4: Streamlit Integration

  • Follow the steps given in the mission.
  • Run the python file streamlit run filename.py.
  • Task 4

Task 5: Adding Initial Messages

Task 5

Task 6: Preparing Submission

  • A GitHub repository for the project containing all the project files.
  • Loom Video to show the approach. Loom Link

Acknowledgements

Special thanks to the Radical AI team for allowing me to work on this AI Mission.