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README (1).md

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+---
+title: Predicting Diabetes
+emoji: 📈
+colorFrom: blue
+colorTo: blue
+sdk: gradio
+sdk_version: 3.4
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app (2).py

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+import pickle
+import pandas as pd
+import shap
+from shap.plots._force_matplotlib import draw_additive_plot
+import gradio as gr
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load the model from disk
+loaded_model = pickle.load(open("db_xgb.pkl", 'rb'))
+
+# Setup SHAP
+explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
+
+# Create the main function for server
+def main_func(Diabetes, HighBP, HighChol, CholCheck, BMI, Smoker, Stroke, HeartDiseaseorAttack, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, AnyHealthcare, NoDocbcCost, GenHlth, MentHlth, PhysHlth, DiffWalk, Sex, Age, Education, Income):
+    new_row = pd.DataFrame.from_dict({'Diabetes': Diabetes, 'HighBP': HighBP, 'HighChol': HighChol, 'CholCheck': CholCheck, 'BMI': BMI, 'Smoker': Smoker, 'Stroke': Stroke, 'HeartDiseaseorAttack': HeartDiseaseorAttack, 'PhysActivity':PhysActivity, 'Fruits':Fruits, 'Veggies':Veggies, 'HvyAlcoholConsump': HvyAlcoholConsump, 'AnyHealthcare': AnyHealthcare, 'NoDocbcCost': NoDocbcCost, 'GenHlth': GenHlth, 'MentHlth': MentHlth, 'PhysHlth': PhysHlth, 'DiffWalk': DiffWalk, 'Sex': Sex, 'Age': Age, 'Education': Education, 'Income': Income}, 
+                                     orient = 'index').transpose()
+    
+    prob = loaded_model.predict_proba(new_row)
+    
+    shap_values = explainer(new_row)
+    # plot = shap.force_plot(shap_values[0], matplotlib=True, figsize=(30,30), show=False)
+    # plot = shap.plots.waterfall(shap_values[0], max_display=6, show=False)
+    plot = shap.plots.bar(shap_values[0], max_display=6, order=shap.Explanation.abs, show_data='auto', show=False)
+
+    plt.tight_layout()
+    local_plot = plt.gcf()
+    plt.close()
+    
+    return {"Low Chance": float(prob[0][0]), "High Chance": 1-float(prob[0][0])}, local_plot
+
+# Create the UI
+title = "**Diabetes Predictor & Interpreter** 🪐"
+description1 = """This app takes info from subjects and predicts their diabetes likelihood. Do not use for medical diagnosis."""
+
+description2 = """
+To use the app, click on one of the examples, or adjust the values of the factors, and click on Analyze. 🤞
+""" 
+
+with gr.Blocks(title=title) as demo:
+    gr.Markdown(f"## {title}")
+    gr.Markdown(description1)
+    gr.Markdown("""---""")
+    gr.Markdown(description2)
+    gr.Markdown("""---""")
+
+
+    Diabetes =  gr.Slider(label="Diabetes Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    HighBP = gr.Slider(label="BP Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    HighChol = gr.Slider(label="Cholesterol Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    CholCheck = gr.Slider(label="CholCheck Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    BMI = gr.Number(label="BMI Score", minimum = 0, maximum = 98, value = 1)
+    Smoker = gr.Slider(label="Smoker Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    Stroke = gr.Slider(label="Stroke Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    HeartDiseaseorAttack = gr.Slider(label="HeartDiseaseorAttack Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    PhysActivity = gr.Slider(label="Physical Activity Score", minimum = 0, maximum = 1, value = 1, step = 1))
+    Fruits = gr.Slider(label="Fruits Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    Veggies = gr.Slider(label="Veggies Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    HvyAlcoholConsump = gr.Slider(label="Alcohol Consumption Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    AnyHealthcare = gr.Slider(label="AnyHealthcare Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    NoDocbcCost = gr.Slider(label="NoDocbcCost Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    GenHlth = gr.Slider(label="GenHlth Score", minimum = 1, maximum = 5, value = 1, step = 1)
+    PhysHealth = gr.Number(label="PhysHealth Score", minimum = 0, maximum = 30, value=1)
+    MentHlth = gr.Number(label="MentHlth Score", minimum = 0, maximum = 30, value = 1, step = 1)
+    DiffWalk = gr.Number(label="DiffWalk Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    Sex = gr.Slider(label="sex Score", minimum = 0, maximum = 1, value = 1, step = 1)
+    Age = gr.Number(label="age Score", minimum = 1, maximum = 100, value = 1)
+    Education = gr.Slider(label="Education Score", minimum = 1, maximum = 6, value = 1, step = 1)
+    Income = gr.Slider(label="Income Score", minimum = 1, maximum = 8, value = 1, step = 1)
+    
+    submit_btn = gr.Button("Analyze")
+
+    with gr.Column(visible=True) as output_col:
+        label = gr.Label(label = "Predicted Label")
+        local_plot = gr.Plot(label = 'Shap:')
+
+    submit_btn.click(
+        main_func,
+        [Diabetes, HighBP, HighChol, CholCheck, BMI, Smoker, Stroke, HeartDiseaseorAttack, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, AnyHealthcare, NoDocbcCost, GenHlth, MentHlth, PhysHlth, DiffWalk, Sex, Age, Education, Income],
+        [label,local_plot], api_name="Diabetes_Predictor"
+    )
+    
+    gr.Markdown("### Click on any of the examples below to see how it works:")
+    gr.Examples([[0,0,1,0,22,0,0,0,1,1,1,0,0,1,3,25,23,1,1,21,5,3], [1,1,1,1,30,1,1,1,0,0,0,1,1,0,2,20,23,0,0,21,3,2]], [Diabetes, HighBP, HighChol, CholCheck, BMI, Smoker, Stroke, HeartDiseaseorAttack, PhysActivity, Fruits, Veggies, HvyAlcoholConsump, AnyHealthcare, NoDocbcCost, GenHlth, MentHlth, PhysHlth, DiffWalk, Sex, Age, Education, Income], [label,local_plot], main_func, cache_examples=True)
+
+demo.launch()

db_xgb.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4b3887bfabd68f0a7d0be65a92179cd06d50b1f6ab6704b1634a7572c49e731a
+size 401476

gitattributes (1)

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+diabetes_012_health_indicators_BRFSS2015.csv filter=lfs diff=lfs merge=lfs -text
+diabetes_binary_health_indicators_BRFSS2015.csv filter=lfs diff=lfs merge=lfs -text

requirements (2).txt

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+gradio==3.41.2
+pandas
+scikit-learn
+shap
+xgboost
+matplotlib
+numpy
+streamlit