Spaces:
Runtime error
Runtime error
File size: 2,979 Bytes
df617cd e86c91a df617cd |
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 69 70 71 72 73 74 75 76 |
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()
|