Spaces:
Sleeping
Sleeping
File size: 3,536 Bytes
127f052 0ae62b7 127f052 7b28cbc 4433993 7b28cbc 4433993 9d6764e 7b28cbc 672ad31 4433993 8b7d7ff 0ae62b7 19aa03c 4433993 41adfee 4433993 0ae62b7 4433993 0b95f79 672ad31 0ae62b7 c378e49 672ad31 7b28cbc 672ad31 |
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 |
import gradio as gr
from text_converter import fre_levels, sbert_levels, model_types, generate_similar_sentence, user_input_readability_level, set_reading_levels
APP_DESCRIPTION = '''# Reading Level Converter
<div id="content_align">Convert any text to a specified reading level while retaining the core text meaning</div>'''
MIN_ENTAILMENT = 0.5
MAX_ITER = 5
SYSTEM_PROMPT = "You are a writing assistant. You help convert complex texts to simpler texts while maintaining the core meaning of the text."
def convert_text(input_text, grade_level, input_reading_score, model_type):
if model_type == "FRE":
reading_levels = fre_levels
else:
reading_levels = sbert_levels
min_level, max_level = reading_levels[grade_level]
output_text, similarity, reading_level, message = generate_similar_sentence(input_text, min_level, max_level, MIN_ENTAILMENT, SYSTEM_PROMPT, MAX_ITER, float(input_reading_score), model_type)
return output_text, similarity, reading_level, message
with gr.Blocks(css='styles.css') as app:
gr.Markdown(APP_DESCRIPTION)
with gr.Tab("FRE"):
with gr.Row():
readability_model = gr.Radio(choices=model_types, label="Readability Model", value = model_types[0], interactive=True, scale = 2)
readability_model_btn = gr.Button("Set Readability Model", scale = 1)
readability_model_btn.click(
fn=set_reading_levels,
inputs=[readability_model],
outputs=[]
)
with gr.Row():
input_text = gr.Textbox(label="Input Text", placeholder="Type here...", lines=4, scale = 2)
fetch_score_and_lvl_btn = gr.Button("Fetch Score and Level", scale = 1)
output_input_reading_score = gr.Textbox(label="Input Text Reading Score", placeholder="Input Text Reading Score...", lines=1)
output_input_reading_level = gr.Textbox(label="Input Text Reading Level", placeholder="Input Text Reading Level...", lines=1)
fetch_score_and_lvl_btn.click(
fn=user_input_readability_level,
inputs=[input_text, readability_model],
outputs=[output_input_reading_score, output_input_reading_level]
)
if readability_model == model_types[0]:
grade_level = gr.Radio(choices=list(fre_levels.keys()), label="Target Reading Level", interactive=True)
else:
grade_level = gr.Radio(choices=list(sbert_levels.keys()), label="Target Reading Level", interactive=True)
#grade_level = gr.Radio(choices=list(fre_levels.keys()) if readability_model == model_types[0] else list(sbert_levels.keys()), label="Target Reading Level", interactive=True)
output_reading_level = gr.Textbox(label="Output Reading Level", placeholder="Output Reading Level...", lines=1)
output_similarity = gr.Textbox(label="Similarity", placeholder="Similarity Score...", lines=1)
output_converted_text = gr.Textbox(label="Converted Text", placeholder="Results will appear here...", lines=4)
output_message = gr.Textbox(label="Message", placeholder="System Message...", lines=2)
convert_button = gr.Button("Convert Text")
convert_button.click(
fn=convert_text,
inputs=[input_text, grade_level, output_input_reading_score, readability_model],
outputs=[output_converted_text, output_similarity, output_reading_level, output_message]
)
if __name__ == '__main__':
app.launch() |