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Update app.py
Browse files
app.py
CHANGED
@@ -30,9 +30,9 @@ def encode_categorical_columns(df):
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df = pd.get_dummies(df, columns=nominal_columns, drop_first=True)
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return df
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def predict_performance(Location, Course,Faculty, College,Source, Event, Presenter, Visited_Parent,
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Visited_College_for_Inquiry, Attended_Any_Event, College_Fee, GPA, Year):
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input_data = [Location, Course, Faculty, Source, Event, Presenter, Visited_Parent,
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Visited_College_for_Inquiry, Attended_Any_Event, College_Fee, GPA, Year]
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# Updated feature names to use spaces instead of underscores to match training data
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@@ -85,6 +85,7 @@ iface = gr.Interface(
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"BA (Hons) Accounting & Finance",
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"BA (Hons) Business Administration"], label="Course"),
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gr.Radio(["Science", "Management", "Humanities"], label="Faculty"),
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gr.Radio(["Event", "Facebook", "Instagram", "Offline", "Recommendation"], label="Source"),
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gr.Radio(["New Year", "Dashain", "Orientation", "Fresher's Party",
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"Holi Festival", "Welcome Ceremony"], label="Event"),
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@@ -93,10 +94,10 @@ iface = gr.Interface(
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gr.Radio(["Yes", "No"], label="Visited Parent"),
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gr.Radio(["Trinity", "CCRC", "KMC", "SOS", "ISMT", "St. Xavier's", "Everest", "Prime"], label="College"),
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gr.Radio(["Yes", "No"], label="Visited College for Inquiry"),
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gr.Radio(["New Year", "Dashain", "Orientation", "Fresher's Party", "Holi Festival", "Welcome Ceremony"],
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label="Event"),
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gr.Radio(["Yes", "No"], label="Attended Any Event"),
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gr.
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],
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outputs="text",
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title="Chance of Student Admission",
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df = pd.get_dummies(df, columns=nominal_columns, drop_first=True)
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return df
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+
def predict_performance(Location, Course, Faculty, College, Source, Event, Presenter, Visited_Parent,
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Visited_College_for_Inquiry, Attended_Any_Event, College_Fee, GPA, Year):
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input_data = [Location, Course, Faculty, College, Source, Event, Presenter, Visited_Parent,
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Visited_College_for_Inquiry, Attended_Any_Event, College_Fee, GPA, Year]
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# Updated feature names to use spaces instead of underscores to match training data
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"BA (Hons) Accounting & Finance",
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"BA (Hons) Business Administration"], label="Course"),
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gr.Radio(["Science", "Management", "Humanities"], label="Faculty"),
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gr.Radio(["Trinity", "CCRC", "KMC", "SOS", "ISMT", "St. Xavier's", "Everest", "Prime"], label="College"),
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gr.Radio(["Event", "Facebook", "Instagram", "Offline", "Recommendation"], label="Source"),
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gr.Radio(["New Year", "Dashain", "Orientation", "Fresher's Party",
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"Holi Festival", "Welcome Ceremony"], label="Event"),
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gr.Radio(["Yes", "No"], label="Visited Parent"),
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gr.Radio(["Trinity", "CCRC", "KMC", "SOS", "ISMT", "St. Xavier's", "Everest", "Prime"], label="College"),
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gr.Radio(["Yes", "No"], label="Visited College for Inquiry"),
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gr.Radio(["Yes", "No"], label="Attended Any Event"),
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gr.Number(label="College Fee"),
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gr.Number(label="GPA"),
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gr.Number(label="Year")
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],
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outputs="text",
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title="Chance of Student Admission",
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