What it does
This project leverages the Pieces Copilot SDK to create an intelligent question-answering system. By configuring the PiecesClient with a specified base URL, users can input questions, which are then processed and answered by the PiecesClient's ask_question method. This setup allows for seamless integration of natural language processing capabilities into applications, enabling users to obtain accurate and contextually relevant answers to their queries efficiently.
How I built it
The project was created via Pieces Copilot SDK in Python. Once I understood the basic foundation of Pieces Copilot SDK, I took the liberty to make changes to the project to optimize the productivity of the code. The askQuestion method was used for the application to interact with the language model, and it is then looped to continuously query the method.
Challenges we ran into
I initially struggled to figure out how to call the SDK system until I spent some time reading the document, which helped me with a general understanding of how to use Pieces Copilot SDK.
Accomplishments that I'm proud of
I took the project to the next step by creating a continuous query to avoid multiple executions of the code. I was quite proud of the outcome of the project and made the time worth investing in to work on the project.
What I learned
I learned the methodology of using SDK and the potential application of this tool.
What's Next for Hello World Using Pieces
I could improve this project even further by incorporating error-handling features to manage potential exceptions that might occur during the API call.
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