Data Sticker Generation for Sports
A computing system receives a prompt to generate a data sticker for a sporting event. The data sticker includes one or more graphical representations of sports analytics data. The computing system parses the prompt to identify individual components of the prompt. The computing system generates, using a generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt. The computing system generates an image file comprising the data sticker.
1 . A method comprising:
receiving, by a computing system, a prompt to generate a data sticker for a sporting event, the data sticker comprising one or more graphical representations of sports analytics data;
parsing, by the computing system, the prompt to identify individual components of the prompt;
generating, by the computing system using a generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt; and
generating, by the computing system, an image file comprising the data sticker.
2 . The method of claim 1 , wherein the prompt is received responsive to a partially generated data sticker, wherein the prompt is a request to complete the partially generated data sticker using the generative artificial intelligence model.
3 . The method of claim 1 , wherein the prompt is a voice-based prompt.
4 . The method of claim 3 , further comprising:
converting, by the computing system, the voice-based prompt into a text-based prompt.
5 . The method of claim 1 , further comprising:
determining, by the computing system, that at least one individual component of the individual components requires an application programming interface (API) call to retrieve prediction data generated by one or more prediction models; and
based on the determining, generating, by the computing system, the API call to the one or more prediction models to obtain the prediction data.
6 . The method of claim 5 , wherein generating, by the computing system using the generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt comprises:
generating a graphical representation of the prediction data received from the one or more prediction models.
7 . The method of claim 5 , wherein generating, by the computing system using the generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt comprises:
merging the prediction data received form the one or more prediction models with the one or more graphical representations to generate the data sticker.
8 . A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by a processor, causes a computing system to perform operations comprising:
receiving, by the computing system, a prompt to generate a data sticker for a sporting event, the data sticker comprising one or more graphical representations of sports analytics data;
parsing, by the computing system, the prompt to identify individual components of the prompt;
generating, by the computing system using a generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt; and
generating, by the computing system, an image file comprising the data sticker.
9 . The non-transitory computer readable medium of claim 8 , wherein the prompt is received responsive to a partially generated data sticker, wherein the prompt is a request to complete the partially generated data sticker using the generative artificial intelligence model.
10 . The non-transitory computer readable medium of claim 8 , wherein the prompt is a voice-based prompt.
11 . The non-transitory computer readable medium of claim 10 , further comprising:
converting, by the computing system, the voice-based prompt into a text-based prompt.
12 . The non-transitory computer readable medium of claim 8 , further comprising:
determining, by the computing system, that at least one individual component of the individual components requires an application programming interface (API) call to retrieve prediction data generated by one or more prediction models; and
based on the determining, generating, by the computing system, the API call to the one or more prediction models to obtain the prediction data.
13 . The non-transitory computer readable medium of claim 12 , wherein generating, by the computing system using the generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt comprises:
generating a graphical representation of the prediction data received from the one or more prediction models.
14 . The non-transitory computer readable medium of claim 12 , wherein generating, by the computing system using the generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt comprises:
merging the prediction data received form the one or more prediction models with the one or more graphical representations to generate the data sticker.
15 . A system comprising:
a processor; and
a memory having programming instructions stored thereon, which, when executed by the processor, causes the system to perform operations comprising:
receiving a prompt to generate a data sticker for a sporting event, the data sticker comprising one or more graphical representations of sports analytics data;
parsing the prompt to identify individual components of the prompt;
generating, using a generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt; and
generating an image file comprising the data sticker.
16 . The system of claim 15 , wherein the prompt is a voice-based prompt.
17 . The system of claim 16 , wherein the operations further comprise:
converting the voice-based prompt into a text-based prompt.
18 . The system of claim 15 , wherein the operations further comprise:
determining that at least one individual component of the individual components requires an application programming interface (API) call to retrieve prediction data generated by one or more prediction models; and
based on the determining, generating the API call to the one or more prediction models to obtain the prediction data.
19 . The system of claim 18 , wherein generating, using the generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt comprises:
generating a graphical representation of the prediction data received from the one or more prediction models.
20 . The system of claim 18 , wherein generating, using the generative artificial intelligence model, the one or more graphical representations based on the individual components of the prompt comprises:
merging the prediction data received form the one or more prediction models with the one or more graphical representations to generate the data sticker.