Spaces:
Runtime error
Runtime error
File size: 2,695 Bytes
8062140 ac158aa 8062140 ac158aa 8062140 3ddbf9f ac158aa 3ddbf9f 8062140 ac158aa 8062140 ac158aa 8062140 ac158aa 8062140 ac158aa 8062140 dec008f b67094f dec008f 8062140 |
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 77 78 79 80 81 82 83 84 85 86 87 88 89 |
import gradio as gr
import hopsworks
import joblib
import pandas as pd
import numpy as np
import folium
import json
import time
from datetime import timedelta, datetime
from branca.element import Figure
from functions import decode_features, get_model, get_model1, get_model2
def greet(total_pred_days):
project = hopsworks.login()
#api = project.get_dataset_api()
fs = project.get_feature_store()
feature_view = fs.get_feature_view(
name = 'weather_fv',
version = 1
)
# The latest available data timestamp
start_time = 1635112800000
#start_date = datetime.now() - timedelta(days=1)
#start_time = int(start_date.timestamp()) * 1000
X = feature_view.get_batch_data(start_time=start_time)
latest_date_unix = str(X.datetime.values[0])[:10]
latest_date = time.ctime(int(latest_date_unix))
model = get_model(project=project,
model_name="temp_model",
evaluation_metric="f1_score",
sort_metrics_by="max")
model1 = get_model1(project=project,
model_name="tempmax_model",
evaluation_metric="f1_score",
sort_metrics_by="max")
model2 = get_model2(project=project,
model_name="tempmin_model",
evaluation_metric="f1_score",
sort_metrics_by="max")
X = X.drop(columns=["datetime"]).fillna(0)
preds = model.predict(X)
preds1= model1.predict(X)
preds2= model2.predict(X)
# cities = [city_tuple[0] for city_tuple in cities_coords.keys()]
next_day_date = datetime.today() + timedelta(days=1)
next_day = next_day_date.strftime ('%d/%m/%Y')
str1 = ""
if(total_pred_days == ""):
return "Empty input"
count = int(total_pred_days)
if count > 20:
str1 += "Warning: 20 days at most. " + '\n'
count = 20
if count <0:
str1 = "Invalid input."
return str1
for x in range(count):
if (x != 0):
str1 += (datetime.now() + timedelta(days=x)).strftime('%Y-%m-%d') + " predicted temperature: " +str(int(preds[len(preds) - count + x]))+ " predicted max temperature: " +str(int(preds1[len(preds1) - count + x]))+ " predicted min temperature: " +str(int(preds2[len(preds2) - count + x]))+"\n"
#print(str1)
return str1
demo = gr.Interface(
fn=greet,
inputs=gr.Slider(label="Days of prediction (start from tomorrow)", value=1, minimum=1, maximum=20, step=1),
outputs=gr.outputs.Textbox(label="Prediction results"),
)
if __name__ == "__main__":
demo.launch() |