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import gradio as gr
from app.gradio_meta_prompt_utils import *
with gr.Blocks(title="Meta Prompt") as demo:
gr.Markdown("# Scope")
input_dataframe = gr.DataFrame(
label="Input Examples",
headers=["Input", "Output"],
datatype=["str", "str"],
row_count=(1, "dynamic"),
col_count=(2, "fixed"),
interactive=False
)
selected_group_mode = gr.State(None) # None, "update", "append"
selected_group_index = gr.State(None) # None, int
selected_group_input = gr.State("")
selected_group_output = gr.State("")
@gr.render(
inputs=[
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
triggers=[selected_group_mode.change],
)
def selected_group(mode, index, input, output):
if mode is None:
return
with gr.Group():
if mode == "update":
with gr.Row():
selected_row_index = gr.Number(
label="Selected Row Index", value=index, precision=0, interactive=False
)
delete_row_button = gr.Button(
"Delete Selected Row", variant="secondary"
)
with gr.Row():
selected_example_input = gr.Textbox(
label="Selected Example Input",
lines=2,
show_copy_button=True,
value=input,
)
selected_example_output = gr.Textbox(
label="Selected Example Output",
lines=2,
show_copy_button=True,
value=output,
)
with gr.Row():
update_row_button = gr.Button(
"Update Selected Row", variant="secondary"
)
close_button = gr.Button("Close", variant="secondary")
delete_row_button.click(
fn=delete_selected_dataframe_row,
inputs=[selected_row_index, input_dataframe],
outputs=[
input_dataframe,
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
)
update_row_button.click(
fn=update_selected_dataframe_row,
inputs=[
selected_example_input,
selected_example_output,
selected_row_index,
input_dataframe,
],
outputs=[
input_dataframe,
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
)
elif mode == "append":
with gr.Row():
selected_example_input = gr.Textbox(
label="Selected Example Input",
lines=2,
show_copy_button=True,
value=input,
)
selected_example_output = gr.Textbox(
label="Selected Example Output",
lines=2,
show_copy_button=True,
value=output,
)
with gr.Row():
append_example_button = gr.Button(
"Append to Input Examples", variant="secondary"
)
close_button = gr.Button("Close", variant="secondary")
append_example_button.click(
fn=append_example_to_input_dataframe,
inputs=[
selected_example_input,
selected_example_output,
input_dataframe,
],
outputs=[
input_dataframe,
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
)
close_button.click(
fn=lambda: None,
inputs=[],
outputs=[selected_group_mode],
)
with gr.Accordion("Import/Export JSON", open=False):
json_file_object = gr.File(
label="Import/Export JSON", file_types=[".json"], type="filepath"
)
export_button = gr.Button("Export to JSON")
with gr.Group():
submit_button = gr.Button("Generate", variant="primary")
examples_output_dataframe = gr.DataFrame(
# label="Examples",
headers=["Input", "Output"],
interactive=False,
datatype=["str", "str"],
row_count=(1, "dynamic"),
col_count=(2, "fixed"),
)
with gr.Accordion("Model Settings", open=False):
model_name = gr.Dropdown(
label="Model Name",
choices=[
"llama3-70b-8192",
"llama3-8b-8192",
"llama-3.1-70b-versatile",
"llama-3.1-8b-instant",
"gemma2-9b-it",
],
value="llama3-70b-8192",
)
temperature = gr.Slider(
label="Temperature", value=1.0, minimum=0.0, maximum=1.0, step=0.1
)
generating_batch_size = gr.Slider(
label="Generating Batch Size", value=3, minimum=1, maximum=10, step=1
)
with gr.Accordion("Analysis", open=False):
with gr.Row():
with gr.Column():
generate_description_button = gr.Button(
"Generate Description", variant="secondary"
)
description_output = gr.Textbox(
label="Description", lines=5, show_copy_button=True
)
with gr.Column():
# Suggestions components
generate_suggestions_button = gr.Button("Generate Suggestions", variant="secondary")
suggestions_output = gr.Dropdown(label="Suggestions", choices=[], multiselect=True, allow_custom_value=True)
apply_suggestions_button = gr.Button("Apply Suggestions", variant="secondary")
with gr.Row():
with gr.Column():
analyze_input_button = gr.Button(
"Analyze Input", variant="secondary"
)
input_analysis_output = gr.Textbox(
label="Input Analysis", lines=5, show_copy_button=True
)
with gr.Column():
generate_briefs_button = gr.Button(
"Generate Briefs", variant="secondary"
)
example_briefs_output = gr.Textbox(
label="Example Briefs", lines=5, show_copy_button=True
)
with gr.Row():
with gr.Column():
generate_examples_directly_button = gr.Button(
"Generate Examples Directly", variant="secondary"
)
examples_directly_output_dataframe = gr.DataFrame(
label="Examples Directly",
headers=["Input", "Output"],
interactive=False,
datatype=["str", "str"],
row_count=(1, "dynamic"),
col_count=(2, "fixed"),
)
with gr.Column():
generate_examples_from_briefs_button = gr.Button(
"Generate Examples from Briefs", variant="secondary"
)
examples_from_briefs_output_dataframe = gr.DataFrame(
label="Examples from Briefs",
headers=["Input", "Output"],
interactive=False,
datatype=["str", "str"],
row_count=(1, "dynamic"),
col_count=(2, "fixed"),
)
clear_button = gr.ClearButton(
[
input_dataframe,
description_output,
suggestions_output,
examples_directly_output_dataframe,
input_analysis_output,
example_briefs_output,
examples_from_briefs_output_dataframe,
examples_output_dataframe
],
value="Clear All"
)
json_file_object.change(
fn=import_json_data,
inputs=[json_file_object, input_dataframe],
outputs=[input_dataframe],
)
export_button.click(
fn=export_json_data,
inputs=[input_dataframe],
outputs=[json_file_object],
)
submit_button.click(
fn=process_json_data,
inputs=[
input_dataframe,
model_name,
generating_batch_size,
temperature,
],
outputs=[
description_output,
suggestions_output,
examples_directly_output_dataframe,
input_analysis_output,
example_briefs_output,
examples_from_briefs_output_dataframe,
examples_output_dataframe,
],
)
generate_description_button.click(
fn=generate_description,
inputs=[input_dataframe, model_name, temperature],
outputs=[description_output, suggestions_output],
)
generate_examples_directly_button.click(
fn=generate_examples_from_description,
inputs=[
description_output,
input_dataframe,
generating_batch_size,
model_name,
temperature,
],
outputs=[examples_directly_output_dataframe],
)
analyze_input_button.click(
fn=analyze_input_data,
inputs=[description_output, model_name, temperature],
outputs=[input_analysis_output],
)
generate_briefs_button.click(
fn=generate_example_briefs,
inputs=[
description_output,
input_analysis_output,
generating_batch_size,
model_name,
temperature,
],
outputs=[example_briefs_output],
)
generate_examples_from_briefs_button.click(
fn=generate_examples_using_briefs,
inputs=[
description_output,
example_briefs_output,
input_dataframe,
generating_batch_size,
model_name,
temperature,
],
outputs=[examples_from_briefs_output_dataframe],
)
input_dataframe.select(
fn=format_selected_input_example_dataframe,
inputs=[input_dataframe],
outputs=[
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
)
examples_directly_output_dataframe.select(
fn=format_selected_example,
inputs=[examples_directly_output_dataframe],
outputs=[
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
)
examples_from_briefs_output_dataframe.select(
fn=format_selected_example,
inputs=[examples_from_briefs_output_dataframe],
outputs=[
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
)
examples_output_dataframe.select(
fn=format_selected_example,
inputs=[examples_output_dataframe],
outputs=[
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
)
gr.Markdown("### Manual Flagging", visible=False)
with gr.Row(visible=False):
flag_button = gr.Button("Flag")
flag_reason = gr.Textbox(label="Reason for flagging")
flagging_callback = gr.CSVLogger()
flag_button.click(
lambda *args: flagging_callback.flag(args),
inputs=[
input_dataframe,
model_name,
generating_batch_size,
description_output,
examples_output_dataframe,
flag_reason,
],
outputs=[],
)
input_dataframe.change(
fn=input_dataframe_change,
inputs=[
input_dataframe,
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
outputs=[
selected_group_mode,
selected_group_index,
selected_group_input,
selected_group_output,
],
)
generate_suggestions_button.click(
fn=generate_suggestions,
inputs=[description_output, input_dataframe, model_name, temperature],
outputs=[suggestions_output],
)
apply_suggestions_button.click(
fn=apply_suggestions,
inputs=[description_output, suggestions_output, input_dataframe, model_name, temperature],
outputs=[description_output],
)
if __name__ == "__main__":
demo.launch() |