Gemini Explorer

Mission

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

Requirments:

• Python version 3.11 or above
• Streamlit Documentation
• Google Cloud account
• Vertexai Documentation

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 5: Adding Initial Messages

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.