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Runtime error
Runtime error
| import gradio as gr | |
| import time | |
| from transformers import pipeline | |
| # Load the speed reading model from Hugging Face Spaces | |
| speed_reading = pipeline("text-classification", model="sberbank-ai/rugpt3small_based_on_gpt2") | |
| def perform_speed_reading(text): | |
| # Split the text into individual sentences | |
| sentences = text.split(".") | |
| # Initialize variables to store results | |
| words_read = 0 | |
| time_taken = 0 | |
| # Loop through each sentence and read it using speed reading model | |
| for sentence in sentences: | |
| # Measure time taken to read each sentence | |
| start_time = time.time() | |
| # Read the sentence using speed reading model | |
| speed_reading(sentence) | |
| # Calculate time taken to read the sentence | |
| end_time = time.time() | |
| time_taken += end_time - start_time | |
| # Count the number of words read | |
| words_read += len(sentence.split()) | |
| # Calculate reading speed in words per minute (WPM) | |
| wpm = (words_read / time_taken) * 60 | |
| return words_read, time_taken, wpm | |
| # Interface | |
| def speed_reading_interface(text): | |
| words_read, time_taken, wpm = perform_speed_reading(text) | |
| return f"Words Read: {words_read}, Time Taken (seconds): {time_taken}, Reading Speed (WPM): {wpm}" | |
| inputs = gr.inputs.Textbox(placeholder="Enter text here") | |
| output = gr.outputs.Textbox(label="Results") | |
| gr.Interface() | |
| fn=speed_reading_interface, | |
| inputs=inputs, | |
| outputs=output, | |
| title="Speed Reading Test", | |
| description="Enter the text you want to speed read, and see how many words you can read per minute.", | |
| .launch() | |