Upload 2 files

There are two files - one runs the python webapp through gradio and the other one is the pickled file for the machine learning model

webapp.py

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+import pickle
+import gradio as gr
+def make_prediction(age1,gender1,occupation1,line_of_work1,time_bp1,time_dp1,travel_time1,easeof_online1,home_env1,prod_inc1,sleep_bal1,new_skill1,fam_connect1,relaxed1,self_time1,like_hw1,dislike_hw1,certaindays_hw1):
+    #print(age1+gender1+occupation1+line_of_work1+time_bp1+time_dp1+travel_time1+easeof_online1+home_env1+prod_inc1+sleep_bal1+new_skill1+fam_connect1+relaxed1+self_time1+like_hw1+dislike_hw1+certaindays_hw1)
+    print(age1+gender1+occupation1+line_of_work1+certaindays_hw1)
+    if age1=="18":
+        age1=int(1)
+    elif age1=="19-25":
+        age1=int(0)
+    elif age1=="33-40":
+        age1=int(2)
+    elif age1=="60+":
+        age1=int(3)
+    elif age1=="26-32":
+        age1=int(4)
+    elif age1=="40-50":
+        age1=int(5)
+    else:   age1=int(6)
+    print(str(age1))
+    if gender1=="Male":
+        gender1=int(0)
+    elif gender1=="Female":
+        gender1=int(1)
+    else:   gender1=int(2)
+    print(str(gender1))
+    if occupation1=="Student in College":
+        occupation1=int(0)
+    elif occupation1=="Student in School":
+        occupation1=int(1)
+    elif occupation1=="Working Professional":
+        occupation1=int(2)
+    elif occupation1=="Entrepreneur":
+        occupation1=int(3)
+    elif occupation1=="Retired/Senior Citizen":
+        occupation1=int(4)
+    elif occupation1=="Homemaker":
+        occupation1=int(5)
+    else: occupation1=int(6)
+    print(str(occupation1))
+    if line_of_work1=="Teaching":
+        line_of_work1=int(0)
+    elif line_of_work1=="Engineering":
+        line_of_work1=int(1)
+    elif line_of_work1=="Management":
+        line_of_work1=int(2)
+    elif line_of_work1=="APSPDCL":
+        line_of_work1=int(3)
+    elif line_of_work1=="Architecture":
+        line_of_work1=int(4)
+    elif line_of_work1=="Other":
+        line_of_work1=int(5)
+    else: line_of_work1=int(6)
+    print(str(line_of_work1)) 
+    if certaindays_hw1=="Yes":
+        certaindays_hw1=int(0)
+    elif certaindays_hw1=="No":
+        certaindays_hw1=int(1)
+    else:   certaindays_hw1=int(2)
+    print(str(certaindays_hw1))
+    with open("covid_psyc_model.pkcls", "rb") as f:
+		#Then feeds our data into the model, then sets the "preds" variable to the prediction output for our class variable, which is price.	
+        clf  = pickle.load(f)
+        preds=clf.predict([[age1,gender1,occupation1,line_of_work1,time_bp1,time_dp1,travel_time1,easeof_online1,home_env1,prod_inc1,sleep_bal1,new_skill1,fam_connect1,relaxed1,self_time1,like_hw1,dislike_hw1,certaindays_hw1]])
+        if preds == 0:
+            return "Complete Physical Attendance"
+        elif preds== 1:
+            return "Work/study from home"
+        else:
+            return "Please check and re-enter your inputs"
+		#Finally, we send the prediction to the website.
+        return preds
+    
+HasAge=gr.Dropdown(["18","19-25","26-32","33-40","40-50","50-60","60+"],label="Please select your age range")
+HasGender=gr.Dropdown(["Male","Female","Prefer not to say"],label="Please select your gender")
+HasOccupation=gr.Dropdown(["Student in College", "Student in School", "Working Professional",
+    "Entrepreneur", "Retired/Senior Citizen", "Homemaker",
+    "Currently Out of Work",
+    "Medical Professional aiding efforts against COVID-19"],label="Please select your occupation")
+HasLineOfWork=gr.Dropdown(["Teaching","Engineering","Management","APSPDCL","Architecture","Other","Government Employee"],label="Please select your line of work")
+HasTimeBP=gr.Slider(minimum=4,maximum=12,step=1,label="How many hours before pandemic did the employee work?")
+HasTimeDP=gr.Slider(minimum=4,maximum=12,step=1,label="How many hours after pandemic did the employee work?")
+HasTravelTime=gr.Slider(minimum=0.5,maximum=3,step=0.5,label="How many hours does the employee travel for work?")
+HasEaseOfOnline=gr.Slider(minimum=1,maximum=5,step=1,label="On a scale of 1-5, how easy does the employee find to work online?")
+HasHomeEnv=gr.Slider(minimum=1,maximum=5,step=1,label="On a scale of 1-5, how comfortable is the employee in home environment?")
+HasProdInc=gr.Slider(minimum=-1,maximum=1,step=0.5,label="On a scale of -1 to 1, how productive is the employee?")
+HasSleepBal=gr.Slider(minimum=-1,maximum=1,step=0.5,label="On a scale of -1 to 1, how is the employee's sleep cycle?")
+HasNewSkill=gr.Slider(minimum=-1,maximum=1,step=0.5,label="On a scale of -1 to 1, how likely is it that the employee learnt a new skill?")
+HasFamConnect=gr.Slider(minimum=-1,maximum=1,step=0.5,label="On a scale of -1 to 1, how is the employee's family connection impacted?")
+HasRelaxed=gr.Slider(minimum=-1,maximum=1,step=0.5,label="On a scale of -1 to 1, how relaxed does the employee feel?")
+HasSelfTime=gr.Slider(minimum=-1,maximum=1,step=0.5,label="On a scale of -1 to 1, how likely does the employee feel the presence of self-time?")
+HasLikeHW=gr.Slider(minimum=0,maximum=1,step=0.1,label="On a scale of 0 to 1, how much does the employee like working from home?")
+HasDislikeHW=gr.Slider(minimum=0,maximum=1,step=0.1,label="On a scale of 0 to 1, how much does the employee dislike working from home?")
+HasCertainDaysHW=gr.Dropdown(["Yes","No","Maybe"],label="Is the employee okay to work in a hybrid setting?")
+
+output = gr.Textbox(label="Employee Preference Prediction:")
+
+app = gr.Interface(fn = make_prediction, inputs=[HasAge,HasGender,HasOccupation,HasLineOfWork,HasTimeBP,HasTimeDP,HasTravelTime,HasEaseOfOnline,HasHomeEnv,HasProdInc,HasSleepBal,HasNewSkill,HasFamConnect,HasRelaxed,HasSelfTime,HasLikeHW,HasDislikeHW,HasCertainDaysHW], outputs=output)
+app.launch()