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Update action.yml
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action.yml
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name: 'actionable.Attest Build Provenance.yml'
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name: 'actionable.Attest Build Provenance.yml'
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description: 'Generate provenance attestations for build artifacts'
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description: 'Generate provenance attestations for build artifacts'
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author: 'GitHub'
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author: 'GitHub'
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branding:
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branding: 'from IPython.display import display
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from IPython.display import Markdown
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# Call the model and print the response.
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gemini = genai.GenerativeModel(model_name=model)
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response = gemini.generate_content(
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Skip to main content
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chat_spark
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Create Prompt
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mic
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Stream Realtime
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bolt
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Starter Apps
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tune
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Tune a Model
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home_storage
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Library
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No prompts yet
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book_2
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Prompt Gallery
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quick_reference_all
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API documentation
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forum
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Developer forum
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view_agenda
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Changelog
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This experimental model is for feedback and testing only.
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settings
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Settings
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action commit
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Chais Fitzwater
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Optional tone and style instructions for the model
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City Scavenger
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Create a scavenger hunt.
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Plant care
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Identify and care for your plants.
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Which is bigger
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Test if AI knows which number is bigger.
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Type something
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Run
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Ctrl
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1.75
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Get code
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For newer models, the genai SDK is recommended
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You can run this prompt from the Gemini API, after installing the relevant package, by running the following code:
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import os
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import google.generativeai as genai
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genai.configure(api_key=os.environ["GEMINI_API_KEY"])
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# Create the model
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generation_config = {
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"temperature": 1.8,
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"top_p": 0.95,
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"top_k": 40,
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"max_output_tokens": 8192,
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"response_mime_type": "application/json",
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}
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model = genai.GenerativeModel(
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model_name="gemini-2.0-flash-exp",
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generation_config=generation_config,
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)
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chat_session = model.start_chat(
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history=[
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]
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)
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response = chat_session.send_message("INSERT_INPUT_HERE")
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print(response.text)
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contents,
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generation_config=generation_config,
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safety_settings=safety_settings,
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stream=stream,
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)
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display(Markdown(response.text))'
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color: 'blue'
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color: 'blue'
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icon: 'lock'
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icon: 'lock'
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