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| import gradio as gr | |
| import pandas as pd | |
| from joblib import load | |
| def humands(Sex,Age,Married,Monthlyincome,TotalWorkingYears,DistanceFromHome,Overtime,YearsAtCompany,NumCompaniesWorked): | |
| model = load('modelo_entrenado.pkl') | |
| df = pd.DataFrame.from_dict( | |
| { | |
| "MonthlyIncome" : [Monthlyincome], | |
| "Age" : [Age], | |
| "TotalWorkingYears" : [TotalWorkingYears], | |
| "DailyRate" : [Monthlyincome*2/30], | |
| "HourlyRate" : [Monthlyincome*2/1640], | |
| "DistanceFromHome" : [DistanceFromHome], | |
| "OverTime_Yes" : [1 if Overtime else 0], | |
| "OverTime_No" : [1 if not Overtime else 0], | |
| "YearsAtCompany" : [YearsAtCompany], | |
| "MonthlyRate" : [Monthlyincome*2], | |
| "NumCompaniesWorked" : [NumCompaniesWorked], | |
| "PercentSalaryHike" : [15], | |
| "YearsInCurrentRole" : [YearsAtCompany-1], | |
| "YearsWithCurrManager" : [YearsAtCompany-1], | |
| "StockOptionLevel" : [1], | |
| "YearsSinceLastPromotion" : [YearsAtCompany-1], | |
| "JobSatisfaction" : [2], | |
| "JobLevel" : [3], | |
| "TrainingTimesLastYear" : [0], | |
| "EnvironmentSatisfaction" : [2], | |
| "WorkLifeBalance" : [2], | |
| "MaritalStatus_Single" : [1 if Married==0 else 0], | |
| "JobInvolvement" : [2], | |
| "RelationshipSatisfaction" : [Married+1], | |
| "Education" : [2], | |
| "BusinessTravel_Travel_Frequently" : [1 if Overtime else 0], | |
| "JobRole_Sales Representative" : [0], | |
| "EducationField_Medical" : [0], | |
| "Department_Sales" : [0], | |
| "JobRole_Laboratory Technician" : [0], | |
| "Department_Research & Development" : [1], | |
| "Gender_Female" : [1 if Sex==0 else 0], | |
| "MaritalStatus_Married" : [1 if Married==1 else 0], | |
| "JobRole_Sales Executive" : [0], | |
| "EducationField_Technical Degree" : [1], | |
| "Gender_Male" : [1 if Sex==1 else 0], | |
| "EducationField_Life Sciences" : [0], | |
| "BusinessTravel_Travel_Rarely" : [0], | |
| "MaritalStatus_Divorced" : [1 if Married==2 else 0], | |
| "JobRole_Research Scientist" : [1], | |
| "EducationField_Marketing" : [0], | |
| "PerformanceRating" : [3], | |
| "EducationField_Other" : [0], | |
| "JobRole_Human Resources" : [0], | |
| "BusinessTravel_Non-Travel" : [1 if not Overtime else 0], | |
| "Department_Human Resources" : [0], | |
| "JobRole_Manufacturing Director" : [0], | |
| "JobRole_Healthcare Representative" : [0], | |
| "EducationField_Human Resources" : [0], | |
| "JobRole_Manager" : [0], | |
| "JobRole_Research Director" : [0], | |
| } | |
| ) | |
| pred = model.predict(df)[0] | |
| # if pred < 5.0: | |
| # predicted="La nota media que se puede lograr en el grupo serà de "+ str(round(pred,2)) + " Es necesario mejorar mucho" | |
| #elif (pred >=5.0 and pred <=7.0): | |
| # predicted="La nota media que se puede lograr en el grupo serà de "+ str(round(pred,2)) + " . Vais por buen camino" | |
| #else: | |
| # predicted="La nota media que se puede lograr en el grupo serà de "+ str(round(pred,2)) + " . Buen trabajo" | |
| if pred == "Yes": | |
| predicted="stressed_image.jpg" | |
| else: | |
| predicted="ok_image.jpg" | |
| return predicted | |
| # return predicted | |
| iface = gr.Interface( | |
| humands, | |
| [ | |
| gr.Radio(["Mujer","Hombre"],type = "index",label="Sexo"), | |
| gr.inputs.Slider(18,70,1,label="Edad del trabajador"), | |
| gr.Radio(["Soltero","Casado","Divorciado"],type = "index",label="Esstado civil:"), | |
| gr.inputs.Slider(1000,20000,1,label="Ingresos mensuales del trabajador"), | |
| gr.inputs.Slider(0,40,1,label="Total de años trabajados del trabajador"), | |
| gr.inputs.Slider(0,100,1,label="Distancia del trabajo al domicilio en Km"), | |
| gr.Checkbox(label="¿Realiza horas extras habitualmente?"), | |
| gr.inputs.Slider(0,40,1,label="Años del trabajador en la empresa"), | |
| gr.inputs.Slider(0,40,1,label="Numero de empresas en las que ha estado el trabajador"), | |
| ], | |
| [gr.outputs.Image(type='file')], | |
| examples=[ | |
| ["Mujer",25,"Soltero",1500,20,2,True,2,2], | |
| ["Hombre",25,"Casado",1500,20,2,False,2,2], | |
| ["Hombre",25,"Divorciado",1500,20,2,True,2,2], | |
| ], | |
| interpretation="default", | |
| title = 'Student Experience: cómo mejorar la experiencia de aprendizaje en la universidad', | |
| description = '¿Cómo calificarías la experiencia de aprendizaje que viviste/estás viviendo en la universidad? ¿Sabrías decir qué es lo que hace que estás más satisfecho/a con un profesor? Si eres estudiante, ¿preparado/a para saber qué es lo que tienes pedir a tu universidad para tener la mejor experiencia y notas posibles? Si eres profesor/a universitario/a ¿preparado/a para conocer los elementos en los que más tienes que enfocarte para mejorar tu desempeño profesional? Para saber más: https://saturdays.ai/2021/07/29/como-mejorar-la-experiencia-de-aprendizaje-en-la-universidad-con-inteligencia-artificial/', | |
| theme = 'peach' | |
| ) | |
| iface.launch() |