File size: 5,832 Bytes
9c6961c | 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 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 | import gradio as gr
import json
import os
import random
from datetime import datetime
# --- Configuration ---
DATA_PATH = '/home/mshahidul/readctrl/data/extracting_subclaim/extracted_subclaims_syn_data_with_gs_summary_en.json'
SAVE_PATH = '/home/mshahidul/readctrl/data/thresold_finding/annotated_subclaims_triplet.json'
with open(DATA_PATH, 'r') as f:
data = json.load(f)
# --- Logic Functions ---
def load_example(index):
if index >= len(data):
return [
gr.update(value="### 🎉 All Done!"), gr.update(value="You have completed all records."),
[], "0%", "0%", "0%", gr.update(choices=[], value=[]),
gr.update(choices=[], value=[]), gr.update(choices=[], value=[]), ""
]
record = data[index]
source_type = random.choice(["Full Original Text", "Gold Summary"])
if source_type == "Full Original Text":
text_content, subclaims = record['fulltext'], record['fulltext_subclaims']
else:
text_content, subclaims = record['summary'], record['summary_subclaims']
source_info = f"### Instance: {index + 1}/{len(data)} | Source: **{source_type}**"
return [
source_info, text_content, subclaims, "0%", "0%", "0%",
gr.update(choices=subclaims, value=[]),
gr.update(choices=subclaims, value=[]),
gr.update(choices=subclaims, value=[]),
"" # Clear warning box
]
def calc_pct_and_validate(low, inter, prof, total_list):
if not total_list: return "0%", "0%", "0%", ""
l_pct = (len(low)/len(total_list)) * 100
i_pct = (len(inter)/len(total_list)) * 100
p_pct = (len(prof)/len(total_list)) * 100
warning = ""
if not (l_pct <= i_pct <= p_pct):
warning = "⚠️ **Hierarchy Warning:** Information density should be: Low ≤ Intermediate ≤ Proficient."
return f"{l_pct:.1f}%", f"{i_pct:.1f}%", f"{p_pct:.1f}%", warning
def save_and_next(username, index, source_info, low_sel, int_sel, prof_sel, subclaims):
if not username or username.strip() == "":
gr.Warning("Please enter your name before submitting!")
return [index] + load_example(index)
now = datetime.now()
timestamp = now.strftime("%Y-%m-%d %H:%M:%S")
stype = "Full Original Text" if "Full Original Text" in source_info else "Gold Summary"
result = {
"annotator": username,
"timestamp": timestamp,
"index": index,
"source_type": stype,
"annotations": {
"low": {"subclaims": low_sel, "pct": len(low_sel)/len(subclaims)},
"intermediate": {"subclaims": int_sel, "pct": len(int_sel)/len(subclaims)},
"proficient": {"subclaims": prof_sel, "pct": len(prof_sel)/len(subclaims)}
}
}
existing = []
if os.path.exists(SAVE_PATH):
try:
with open(SAVE_PATH, 'r') as f: existing = json.load(f)
except: pass
existing.append(result)
with open(SAVE_PATH, 'w') as f: json.dump(existing, f, indent=4)
gr.Info(f"Saved successfully at {timestamp}!")
return [index + 1] + load_example(index + 1)
# --- UI Definition ---
with gr.Blocks(theme=gr.themes.Soft(), title="Medical Literacy Annotation Tool") as demo:
index_state = gr.State(0)
subclaim_list_state = gr.State([])
with open("/home/mshahidul/readctrl/code/interface/instructions", "r") as f:
instructions_text = f.read()
gr.Markdown(instructions_text)
with gr.Row():
# LEFT SIDEBAR: Instructions
with gr.Column(scale=1, variant="panel"):
user_input = gr.Textbox(label="Annotator Name", placeholder="e.g., Shama", interactive=True)
gr.HTML("<hr>")
source_display = gr.Markdown("### Initializing...")
text_viewer = gr.Textbox(label="Reference Text", interactive=False, lines=15)
# RIGHT MAIN: Annotation Area
with gr.Column(scale=2):
hierarchy_warning = gr.Markdown(value="", visible=True)
with gr.Row():
with gr.Column():
gr.Markdown("### 🟢 Low")
low_pct = gr.Label(label="Coverage", value="0%")
low_check = gr.CheckboxGroup(label="Subclaims", choices=[])
with gr.Column():
gr.Markdown("### 🟡 Intermediate")
int_pct = gr.Label(label="Coverage", value="0%")
int_check = gr.CheckboxGroup(label="Subclaims", choices=[])
with gr.Column():
gr.Markdown("### 🔴 Proficient")
prof_pct = gr.Label(label="Coverage", value="0%")
prof_check = gr.CheckboxGroup(label="Subclaims", choices=[])
submit_btn = gr.Button("Submit & Next Record", variant="primary", size="lg")
# --- Event Handlers ---
demo.load(load_example, [index_state], [source_display, text_viewer, subclaim_list_state, low_pct, int_pct, prof_pct, low_check, int_check, prof_check, hierarchy_warning])
# Real-time update for percentages and hierarchy warning
for check_sys in [low_check, int_check, prof_check]:
check_sys.change(
calc_pct_and_validate,
[low_check, int_check, prof_check, subclaim_list_state],
[low_pct, int_pct, prof_pct, hierarchy_warning]
)
submit_btn.click(
save_and_next,
[user_input, index_state, source_display, low_check, int_check, prof_check, subclaim_list_state],
[index_state, source_display, text_viewer, subclaim_list_state, low_pct, int_pct, prof_pct, low_check, int_check, prof_check, hierarchy_warning]
)
if __name__ == "__main__":
demo.launch(share=True)
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