AkashKumarPS/fake-profile-detector

1import gradio as gr2import pickle3import numpy as np4 5# Load trained model6model = pickle.load(open("fake_profile_model.pkl", "rb"))7 8def predict(profile_pic, username_length, fullname_words,9            fullname_length, name_equals_username,10            description_length, external_url, private,11            posts, followers, following):12 13    features = np.array([[profile_pic, username_length, fullname_words,14                          fullname_length, name_equals_username,15                          description_length, external_url, private,16                          posts, followers, following]])17 18    prediction = model.predict(features)19 20    if prediction[0] == 1:21        return "⚠️ Fake Profile"22    else:23        return "✅ Genuine Profile"24 25 26interface = gr.Interface(27    fn=predict,28    inputs=[29        gr.Number(label="Profile Picture (0 or 1)"),30        gr.Number(label="Username Length"),31        gr.Number(label="Full Name Words"),32        gr.Number(label="Full Name Length"),33        gr.Number(label="Name Equals Username (0 or 1)"),34        gr.Number(label="Description Length"),35        gr.Number(label="External URL (0 or 1)"),36        gr.Number(label="Private Account (0 or 1)"),37        gr.Number(label="Number of Posts"),38        gr.Number(label="Followers"),39        gr.Number(label="Following")40    ],41    outputs=gr.Textbox(label="Prediction"),42    title="Fake Social Media Profile Detector",43    description="Enter profile features to detect whether an account is fake or genuine."44)45 46interface.launch(server_name="0.0.0.0", server_port=7860)