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jmikedupont2 / https-lablab.ai-event-llama-2-hackathon-with-clarifai-introspector

https://lablab.ai/event/llama-2-hackathon-with-clarifai/introspector
MIT License
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ReviewClarifaiResources #11

Open jmikedupont2 opened 10 months ago

jmikedupont2 commented 10 months ago

Sure, it sounds like you want to define a task that involves reviewing the resources_pb2.pyi file from the Clarifai gRPC API as an input task into your meta model. This task would then be used to generate example code. Let's break down the steps to achieve this:

  1. Define the Task: Create a task called "ReviewClarifaiResources" that involves reviewing the resources_pb2.pyi file. This task will serve as an input to your meta model.

  2. Generate Example Code: Once you have the review task defined, you can use your meta model to generate example code based on the input from the review task. This code can showcase how to work with the Clarifai gRPC API using the resources_pb2.pyi file.

  3. Execution and Output: Execute your meta model with the review task as input. It will process the input and generate example code as output, demonstrating how to interact with the Clarifai API using the provided protocol buffer definitions.

Keep in mind that the exact implementation details would depend on how you've set up your meta model and task execution pipeline. If you need further assistance with any specific part of this process or have questions about the implementation, feel free to ask!

jmikedupont2 commented 10 months ago

The the nodeJS version of the new API contains the original protobuffs which we're going to want to read