Duplicate from Chenzhou/Real_Time_Traffic_Prediction

Co-authored-by: Chenzhou Huang <[email protected]>

.gitattributes

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README.md

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+---
+title: Real Time Traffic Prediction
+emoji: 🐠
+colorFrom: gray
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.16.1
+app_file: app.py
+pinned: false
+duplicated_from: Chenzhou/Real_Time_Traffic_Prediction
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import sklearn
+import gradio as gr
+import joblib
+import pandas as pd
+import datasets
+
+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"
+
+inputs = [gr.Dataframe(row_count = (1, "fixed"), col_count=(7,"fixed"), label="Input Data", interactive=1)]
+
+outputs = [gr.Dataframe(row_count = (1, "fixed"), col_count=(1, "fixed"), label="Predictions", headers=["Congestion Level"])]
+
+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()

requirements.txt

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+scikit-learn==1.0.2
+gradio
+joblib
+pandas
+datasets

traffic_model.pkl

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