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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() |