kotaemon/knowledgehub/contribs/promptui/ui.py
Nguyen Trung Duc (john) c6dd01e820 [AUR-338, AUR-406, AUR-407] Export pipeline to config for PromptUI. Construct PromptUI dynamically based on config. (#16)
From pipeline > config > UI. Provide example project for promptui

- Pipeline to config: `kotaemon.contribs.promptui.config.export_pipeline_to_config`. The config follows schema specified in this document: https://cinnamon-ai.atlassian.net/wiki/spaces/ATM/pages/2748711193/Technical+Detail. Note: this implementation exclude the logs, which will be handled in AUR-408.
- Config to UI: `kotaemon.contribs.promptui.build_from_yaml`
- Example project is located at `examples/promptui/`
2023-09-21 14:27:23 +07:00

152 lines
5.3 KiB
Python

from typing import Union
import gradio as gr
import yaml
from theflow.utils.modules import import_dotted_string
from kotaemon.contribs.promptui.base import COMPONENTS_CLASS, SUPPORTED_COMPONENTS
USAGE_INSTRUCTION = """In case of errors, you can:
- Create bug fix and make PR at: https://github.com/Cinnamon/kotaemon
- Ping any of @john @tadashi @ian @jacky in Slack channel #llm-productization"""
def get_component(component_def: dict) -> gr.components.Component:
"""Get the component based on component definition"""
component_cls = None
if "component" in component_def:
component = component_def["component"]
if component not in SUPPORTED_COMPONENTS:
raise ValueError(
f"Unsupported UI component: {component}. "
f"Must be one of {SUPPORTED_COMPONENTS}"
)
component_cls = COMPONENTS_CLASS[component]
else:
raise ValueError(
f"Cannot decide the component from {component_def}. "
"Please specify `component` with 1 of the following "
f"values: {SUPPORTED_COMPONENTS}"
)
return component_cls(**component_def.get("params", {}))
def construct_ui(config, func_run, func_export) -> gr.Blocks:
"""Create UI from config file. Execute the UI from config file
- Can do now: Log from stdout to UI
- In the future, we can provide some hooks and callbacks to let developers better
fine-tune the UI behavior.
"""
inputs, outputs, params = [], [], []
for name, component_def in config.get("inputs", {}).items():
if "params" not in component_def:
component_def["params"] = {}
component_def["params"]["interactive"] = True
component = get_component(component_def)
if hasattr(component, "label") and not component.label: # type: ignore
component.label = name # type: ignore
inputs.append(component)
for name, component_def in config.get("params", {}).items():
if "params" not in component_def:
component_def["params"] = {}
component_def["params"]["interactive"] = True
component = get_component(component_def)
if hasattr(component, "label") and not component.label: # type: ignore
component.label = name # type: ignore
params.append(component)
for idx, component_def in enumerate(config.get("outputs", [])):
if "params" not in component_def:
component_def["params"] = {}
component_def["params"]["interactive"] = False
component = get_component(component_def)
if hasattr(component, "label") and not component.label: # type: ignore
component.label = f"Output {idx}"
outputs.append(component)
temp = gr.Tab
with gr.Blocks(analytics_enabled=False, title="Welcome to PromptUI") as demo:
with gr.Accordion(label="Usage", open=False):
gr.Markdown(USAGE_INSTRUCTION)
with gr.Row():
run_btn = gr.Button("Run")
run_btn.click(func_run, inputs=inputs + params, outputs=outputs)
export_btn = gr.Button("Export")
export_btn.click(func_export, inputs=None, outputs=None)
with gr.Row():
with gr.Column():
with temp("Inputs"):
for component in inputs:
component.render()
with temp("Params"):
for component in params:
component.render()
with gr.Column():
for component in outputs:
component.render()
return demo
def build_pipeline_ui(config: dict, pipeline_def):
"""Build a tab from config file"""
inputs_name = list(config.get("inputs", {}).keys())
params_name = list(config.get("params", {}).keys())
outputs_def = config.get("outputs", [])
def run_func(*args):
inputs = {
name: value for name, value in zip(inputs_name, args[: len(inputs_name)])
}
params = {
name: value for name, value in zip(params_name, args[len(inputs_name) :])
}
pipeline = pipeline_def()
pipeline.set(params)
pipeline(**inputs)
if outputs_def:
outputs = []
for output_def in outputs_def:
output = pipeline.last_run.logs(output_def["step"])
if "item" in output_def:
output = output[output_def["item"]]
outputs.append(output)
return outputs
# TODO: export_func is None for now
return construct_ui(config, run_func, None)
def build_from_dict(config: Union[str, dict]):
"""Build a full UI from YAML config file"""
if isinstance(config, str):
with open(config) as f:
config_dict: dict = yaml.safe_load(f)
elif isinstance(config, dict):
config_dict = config
else:
raise ValueError(
f"config must be either a yaml path or a dict, got {type(config)}"
)
demos = []
for key, value in config_dict.items():
pipeline_def = import_dotted_string(key, safe=False)
demos.append(build_pipeline_ui(value, pipeline_def))
if len(demos) == 1:
demo = demos[0]
else:
demo = gr.TabbedInterface(demos, list(config_dict.keys()))
return demo