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How-To: Visualize Views#

To create simple UI interface use create_gradio_interface function It allows to display Data Preview related to Views and execute user queries.

Installation#

pip install dbally["gradio"]
When You plan to use some other feature like faiss similarity store install them as well.

pip install dbally["faiss"]

Create own gradio interface#

Define collection with implemented views

llm = LiteLLM(model_name="gpt-3.5-turbo")
await country_similarity.update()
collection = dbally.create_collection("recruitment", llm)
collection.add(CandidateView, lambda: CandidateView(engine))
collection.add(SampleText2SQLViewCyphers, lambda: SampleText2SQLViewCyphers(create_freeform_memory_engine()))

NOTE: The following code requires environment variables to proceed with LLM queries. For the example below, set the OPENAI_API_KEY environment variable.

Create gradio interface 

gradio_interface = await create_gradio_interface(user_collection=collection)

Launch the gradio interface. To publish public interface pass argument share=True 

gradio_interface.launch()

The endpoint is set by triggering python module with Gradio Adapter launch command. Private endpoint is set to http://127.0.0.1:7860/ by default.