Having information information scattered across multiple places makes it time-consuming to generate insight needed to come up with new creative concepts.
Creative Assistant uses power of large language models to organize information available in multiple places and provide a chat bot interface to answer common question regarding user personas, current creative and audience trends and more.
Creative Assistant is implemented as a:
- CLI - Creative Assistant can be easily exposed as CLI tool.
- HTTP endpoint - Creative Assistant can be easily exposed as HTTP endpoint.
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Python 3.8+
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A GCP project with billing account attached
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Service account created and service account key downloaded in order to write data to BigQuery.
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Once you downloaded service account key export it as an environmental variable
export GOOGLE_APPLICATION_CREDENTIALS=path/to/service_account.json -
If authenticating via service account is not possible you can authenticate with the following command:
gcloud auth application-default login
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- Install dependencies for Creative Assistant:
pip install creative-assistant
- Expose necessary environmental variables to ensure correct initialization of Creative Assistant:
export LLM_TYPE=gemini
export LLM_MODEL=gemini-1.5-flash
export CLOUD_PROJECT=<YOUR_GOOGLE_CLOUD_PROJECT_HERE>
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
export ASSISTANT_LOG_FILE=path/to/assistant.log
Once dependencies for Creative Assistant are installed you can run the following command:
creative-assistant
Now you can interact with assistant by asking it various question.
To end conversation enter quit, bye or exit as a message.
You can launch web version of Creative Assistant by running the following command:
uvicorn creative_assistant.entrypoints.server:app
This is not an officially supported Google product. This project is not eligible for the Google Open Source Software Vulnerability Rewards Program.