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teamTensorflowWeatherPrediction / app.py

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835295e about 4 years ago

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import pickle
import gradio as gr

description = "input a single number or numbers separated with comma"
with open('final_model.pkl','rb') as g:
    model = pickle.load(g)
def grad(value):
    values = value.split(',')
    values = [int(i) for i in values]
    output = list(model.predict(values)['NOx'])
    output = [str(i) for i in output]
    output = "\n".join(output)
    return output


gr.Interface(grad, gr.Textbox(label = 'Months'),gr.Textbox(label = "NOx pollution values(microgram/m³"), description = description, title = "Predicting NOx pollution levels for station Avda. Ramón y Cajal" ).launch()

	import pickle
	import gradio as gr

	description = "input a single number or numbers separated with comma"
	with open('final_model.pkl','rb') as g:
	model = pickle.load(g)
	def grad(value):
	values = value.split(',')
	values = [int(i) for i in values]
	output = list(model.predict(values)['NOx'])
	output = [str(i) for i in output]
	output = "\n".join(output)
	return output


	gr.Interface(grad, gr.Textbox(label = 'Months'),gr.Textbox(label = "NOx pollution values(microgram/m³"), description = description, title = "Predicting NOx pollution levels for station Avda. Ramón y Cajal" ).launch()