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import copy
import random
from time import sleep
import gradio as gr
TEST = """ Test of Time. A Benchmark for Evaluating LLMs on Temporal Reasoning. Large language models (LLMs) have
showcased remarkable reasoning capabilities, yet they remain susceptible to errors, particularly in temporal
reasoning tasks involving complex temporal logic. """
def generate_data_test():
"""Generator to yield words"""
temp = copy.deepcopy(TEST)
l1 = temp.split()
random.shuffle(l1)
temp = ' '.join(l1)
for word in temp.split(" "):
yield word + " "
def stream_data(progress=gr.Progress()):
"""Stream data to all columns"""
outputs = ["", "", ""]
generators = [generate_data_test() for _ in range(3)]
while True:
updated = False
for i, gen in enumerate(generators):
try:
word = next(gen)
outputs[i] += word
updated = True
except StopIteration:
pass
if not updated:
break
yield tuple(outputs)
sleep(0.01)
def create_interface():
with gr.Group():
with gr.Row():
col1 = gr.Textbox(label="Column 1", lines=10)
col2 = gr.Textbox(label="Column 2", lines=10)
col3 = gr.Textbox(label="Column 3", lines=10)
start_btn = gr.Button("Start Streaming")
start_btn.click(
fn=stream_data,
outputs=[col1, col2, col3],
show_progress=False
)
#return demo
if __name__ == "__main__":
demo = create_interface()
demo.queue()
demo.launch() |