Sync App files

README.md

@@ -8,6 +8,4 @@ sdk_version: 5.35.0
 app_file: app.py
 pinned: false
 short_description: Decide whether you are introvert or extrovert
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---

app.py

@@ -0,0 +1,68 @@
+import gradio as gr 
+import skops.io as sio
+import pandas as pd
+
+pipe = sio.load("./Model/personality_pipeline.skops",trusted=["numpy.dtype","sklearn.compose._column_transformer._RemainderColsList"])
+print("Succesfully loaded the model")
+
+def predict_personality(Time_spent_Alone,Stage_fear,Social_event_attendance,Going_outside,Drained_after_socializing,Friends_circle_size,Post_frequency):
+    """Predict personality based on social features.
+
+    Args:
+        + Time_spent_Alone: Hours spent alone daily (0-11).
+        + Stage_fear: Presence of stage fright (Yes/No).
+        + Social_event_attendance: Frequency of social events (0-10).
+        + Going_outside: Frequency of going outside (0-7).
+        + Drained_after_socializing: Feeling drained after socializing (Yes/No).
+        + Friends_circle_size: Number of close friends (0-15).
+        + Post_frequency: Social media post frequency (0-10).
+
+    Returns:
+        str: Predicted drug label
+    """
+    features = [Time_spent_Alone,Stage_fear,Social_event_attendance,Going_outside,Drained_after_socializing,Friends_circle_size,Post_frequency]
+    columns = [
+        "Time_spent_Alone",
+        "Stage_fear",
+        "Social_event_attendance",
+        "Going_outside",
+        "Drained_after_socializing",
+        "Friends_circle_size",
+        "Post_frequency"
+        ]
+    
+    df_input = pd.DataFrame([features], columns=columns)
+    predicted_personality = pipe.predict(df_input)[0]
+    return f"Predicted personality: {str(predicted_personality).upper()}"
+
+inputs=[
+    gr.Slider(0,11,step=1,label="Time_spent_Alone",info="How many hours do you spend alone every day? (0-11)"),
+    gr.Radio(["Yes","No"],label="Stage_fear",info="Are you afraid of standing in front of crowds? (Yes/No)."),
+    gr.Slider(0,10,step=1,label="Social_event_attendance",info="How frequently do you participate in social events? (0-10)"),
+    gr.Slider(0,7,step=1,label="Going_outside",info="How many days per week do you go outside? (0-7)"),
+    gr.Radio(["Yes","No"],label="Drained_after_socializing",info="Do you feel exhausted after parties or interacting with many people? (Yes/No)."),
+    gr.Slider(0,15,step=1,label="Friends_circle_size",info="How many close friends do you have? (0-15)"),
+    gr.Slider(0,10,step=1,label="Post_frequency",info="How often do you post on social media? (0-10)"),
+]
+outputs=[gr.Label(num_top_classes=5)]
+
+examples=[
+    [4.0,"No",4.0,6.0,"No",13.0,5.0],
+    [9.0,"Yes",0.0,0.0,"Yes",0.0,3.0],
+    [9.0,"Yes",1.0,2.0,"Yes",5.0,2.0]
+]
+
+title="Personality Classification"
+description="Enter your social features to determine whether you are an Introvert or Extrovert"
+article="This app is for my MLOps with CI/CD pipe line, pretty cool right?"
+
+gr.Interface(
+    fn=predict_personality,
+    inputs=inputs,
+    outputs=outputs,
+    examples=examples,
+    title=title,
+    description=description,
+    article=article,
+    theme=gr.themes.Soft()
+).launch()

requirements.txt

@@ -0,0 +1,3 @@
+skops
+gradio
+pandas