File size: 2,184 Bytes
a132742 56e7395 004e9d5 56e7395 d0c0916 56e7395 a132742 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
import gradio as gr
from chains.learning_objectives_generator.runner import run_learning_objectives_generator
from config.llm_config import llms
def build_learning_objectives_tab():
with gr.TabItem("🧠 Identify Learning Objectives"):
gr.HTML(
"""
<div style="margin-bottom: 10px;">
<span style="font-size: 1.5em; cursor: help;" title="Generate learning objectives for the given study text">
ℹ️
</span>
</div>
"""
)
with gr.Row():
# 2 dropdowns for the user-chosen LLMs:
model_choice_1 = gr.Dropdown(
choices=list(llms.keys()),
value="o1 (high reasoning_effort)",
label="LLM 1"
)
model_choice_2 = gr.Dropdown(
choices=list(llms.keys()),
value="o3-mini (high reasoning_effort)",
label="LLM 2"
)
text_format = gr.Dropdown(
choices=["Markdown", "XML", "Plaintext", "Raw (input not reformatted)"],
value="Markdown",
label="Studytext Reformat",
interactive=True,
)
studytext_input = gr.Textbox(label="Enter a study text in any format", placeholder="<h3>Infusie en infuussystemen</h3> <h4>Inleiding</h4> ...")
learning_objectives_button = gr.Button("Identify LOs")
# 2×2 textboxes => 4 total
# For clarity:
# row 1 => (box_0, box_1)
# row 2 => (box_2, box_3)
with gr.Row():
box_0 = gr.Textbox(label="Prompt A + LLM 1", interactive=False)
box_1 = gr.Textbox(label="Prompt B + LLM 1", interactive=False)
with gr.Row():
box_2 = gr.Textbox(label="Prompt A + LLM 2", interactive=False)
box_3 = gr.Textbox(label="Prompt B + LLM 2", interactive=False)
# Return references if needed
return (model_choice_1,
model_choice_2,
text_format,
studytext_input,
learning_objectives_button,
[box_0, box_1, box_2, box_3])
|