Update app.py

app.py

@@ -3,6 +3,9 @@ import gradio as gr
 import joblib
 import pandas as pd
 import datasets
+import requests
+import json
+import dateutil.parser as dp
 
 title = "Stoclholm Highway E4 Real Time Traffic Prediction"
 description = "Stockholm E4 (59°23'44.7"" N 17°59'00.4""E) highway real time traffic prediction, updated in every hour"
@@ -17,4 +20,33 @@ model = joblib.load("./traffic_model.pkl")
 def infer(input_dataframe):
   return pd.DataFrame(model.predict(input_dataframe))
 
-gr.Interface(fn = infer, inputs = inputs, outputs = outputs, title=title, description=description).launch()
+response_tomtom = requests.get(
+                'https://api.tomtom.com/traffic/services/4/flowSegmentData/absolute/10/json?key=azGiX8jKKGxCxdsF1OzvbbWGPDuInWez&point=59.39575,17.98343')
+json_response_tomtom = json.loads(response_tomtom.text)  # get json response
+
+currentSpeed = json_response_tomtom["flowSegmentData"]["currentSpeed"]
+freeFlowSpeed = json_response_tomtom["flowSegmentData"]["freeFlowSpeed"]
+congestionLevel = currentSpeed/freeFlowSpeed
+
+confidence = json_response_tomtom["flowSegmentData"]["confidence"] # Reliability of the traffic data, by percentage
+
+
+# Get weather data from SMHI, updated hourly
+
+response_smhi = requests.get(
+            'https://opendata-download-metanalys.smhi.se/api/category/mesan1g/version/2/geotype/point/lon/17.983/lat/59.3957/data.json')
+json_response_smhi = json.loads(response_smhi.text) 
+
+# weather data manual https://opendata.smhi.se/apidocs/metanalys/parameters.html#parameter-wsymb
+referenceTime = dp.parse(json_response_smhi["referenceTime"]).timestamp()
+
+t             = json_response_smhi["timeSeries"][0]["parameters"][0]["values"][0] # Temperature
+ws            = json_response_smhi["timeSeries"][0]["parameters"][4]["values"][0] # Wind Speed
+prec1h        = json_response_smhi["timeSeries"][0]["parameters"][6]["values"][0] # Precipation last hour
+fesn1h        = json_response_smhi["timeSeries"][0]["parameters"][8]["values"][0] # Snow precipation last hour
+vis           = json_response_smhi["timeSeries"][0]["parameters"][9]["values"][0] # Visibility
+
+
+row           = [referenceTime, t, ws, prec1h, fesn1h, vis, confidence, congestionLevel]
+
+gr.Interface(fn = infer, inputs = inputs, outputs = outputs, title=title, description=description, examples=[row]).launch()