-Turn your natural language descriptions into fully functional, deployed microservices with a single command! +Turn your natural language descriptions into fully functional, deployed AI-powered microservices with a single command! Your imagination is the limit!
@@ -37,7 +37,7 @@ Your imagination is the limit! [](https://user-images.githubusercontent.com/11627845/231530421-272a66aa-4260-4e17-ab7a-ba66adca754c.mp4) -This project streamlines the creation and deployment of microservices. +This project streamlines the creation and deployment of AI-powered microservices. Simply describe your task using natural language, and the system will automatically build and deploy your microservice. To ensure the microservice accurately aligns with your intended task a test scenario is required. diff --git a/src/options/generate/templates_user.py b/src/options/generate/templates_user.py index 6019433..06175d5 100644 --- a/src/options/generate/templates_user.py +++ b/src/options/generate/templates_user.py @@ -307,9 +307,12 @@ print(response[0].text) # can also be blob in case of image/audio..., this shoul Note that the response will always be in response[0].text The playground displays a code block containing the microservice specific curl code that can be used to send the request to the microservice. Example: + +deployment_id = os.environ.get("K8S_NAMESPACE_NAME", "") +host = 'https://gptdeploy-{{deployment_id.split('-')[1}}.wolf.jina.ai/post' if deployment_id else "http://localhost:8080/post" with st.expander("See curl command"): st.code( - 'curl -X POST -H "Content-Type: application/json" -d \'[{{"text": "