Spaces:
Runtime error
Runtime error
| import gradio as gr | |
| import imageio.v3 as iio | |
| from PIL import Image | |
| import hopsworks | |
| project = hopsworks.login(api_key_value='U6PiDFwDVDQHP26X.XhXDZQ9QKiNwafhLh11PUntcyYW5Zp8aoXhoj1IJTGHDBu8owQJUKbFClHaehyMU') | |
| fs = project.get_feature_store() | |
| dataset_api = project.get_dataset_api() | |
| dataset_api.download("Resources/images/latest_bitcoin_fluctuation_prediction_2.png", overwrite=True) | |
| dataset_api.download("Resources/images/latest_bitcoin_fluctuation_actual_2.png", overwrite=True) | |
| dataset_api.download("Resources/images/df_recent_2.png", overwrite=True) | |
| dataset_api.download("Resources/images/confusion_matrix_2.png", overwrite=True) | |
| def update(): | |
| dataset_api.download("Resources/images/latest_bitcoin_fluctuation_prediction_2.png", overwrite=True) | |
| dataset_api.download("Resources/images/latest_bitcoin_fluctuation_actual_2.png", overwrite=True) | |
| dataset_api.download("Resources/images/df_recent_2.png", overwrite=True) | |
| dataset_api.download("Resources/images/confusion_matrix_2.png", overwrite=True) | |
| def update_fluctuation_prediction_img(): | |
| im_pred = iio.imread('latest_bitcoin_fluctuation_prediction_2.png') | |
| return im_pred | |
| def update_actual_fluctuation_img(): | |
| im_act = iio.imread('latest_bitcoin_fluctuation_actual_2.png') | |
| return im_act | |
| def update_df_recent_img(): | |
| im_hist = iio.imread('df_recent_2.png') | |
| return im_hist | |
| def update_confusion_matrix_img(): | |
| im_matr = iio.imread('confusion_matrix_2.png') | |
| return im_matr | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| gr.Markdown( | |
| """ | |
| # Bitcoin Twitter Sentiment Predictor Monitor v2 | |
| Model version build upon hyperparameter tuning for max. f-1 score. | |
| """ | |
| ) | |
| with gr.Row(): | |
| load=gr.Button("Load Images") | |
| load.click(fn=update) | |
| with gr.Row(): | |
| refresh=gr.Button("Refresh (wait 10 seconds after loading images before refreshing") | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Label("Today's Predicted Image") | |
| input_img_pred = gr.Image("latest_bitcoin_fluctuation_prediction_2.png", elem_id="predicted-img") | |
| refresh.click(update_fluctuation_prediction_img,outputs=input_img_pred) | |
| with gr.Column(): | |
| gr.Label("Today's Actual Image") | |
| input_img_act = gr.Image("latest_bitcoin_fluctuation_actual_2.png", elem_id="actual-img") | |
| refresh.click(update_actual_fluctuation_img,outputs=input_img_act) | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Label("Recent Prediction History") | |
| input_img_hist = gr.Image("df_recent_2.png", elem_id="recent-predictions") | |
| refresh.click(update_df_recent_img,outputs=input_img_hist) | |
| with gr.Column(): | |
| gr.Label("Confusion Maxtrix with Historical Prediction Performance") | |
| input_img_matr = gr.Image("confusion_matrix_2.png", elem_id="confusion-matrix") | |
| refresh.click(update_confusion_matrix_img,outputs=input_img_matr) | |
| demo.launch() | |