Intial Commit

Lung_Cancer_Prediction.py

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+import gradio as gr
+import pandas as pd
+import numpy as np
+from joblib import load
+
+def predict_Level(
+        Age, Gender, Air_Pollution, Alcohol_use,
+        Dust_Allergy, OccuPational_Hazards, Genetic_Risk,
+        chronic_Lung_Disease, Balanced_Diet, Obesity, Smoking,
+        Passive_Smoker, Chest_Pain, Coughing_of_Blood, Fatigue,
+        Weight_Loss, Shortness_of_Breath, Wheezing,Swallowing_Difficulty, 
+        Clubbing_of_Finger_Nails, Frequent_Cold,Dry_Cough, Snoring                
+):
+    
+# load model
+    model = load('Lung_cancer_prediction.joblib')
+
+    # Create a dict array from the parameters
+    data = {
+        'Age': [Age],
+        'Gender': [Gender],
+        'Air Pollution': [Air_Pollution],
+        'Alcohol use': [Alcohol_use],
+        'Dust Allergy': [Dust_Allergy],
+        'OccuPational Hazards': [OccuPational_Hazards],
+        'Genetic Risk': [Genetic_Risk],
+        'chronic Lung Disease': [chronic_Lung_Disease],
+        'Balanced Diet': [Balanced_Diet],
+        'Obesity': [Obesity],
+        'Smoking': [Smoking],
+        'Passive Smoker': [Passive_Smoker],
+        'Chest Pain': [Chest_Pain],
+        'Coughing of Blood': [Coughing_of_Blood],
+        'Fatigue': [Fatigue],
+        'Weight Loss': [Weight_Loss],
+        'Shortness of Breath': [Shortness_of_Breath],
+        'Wheezing': [Wheezing],
+        'Swallowing Difficulty': [Swallowing_Difficulty],
+        'Clubbing of Finger Nails': [Clubbing_of_Finger_Nails],
+        'Frequent Cold': [Frequent_Cold],
+        'Dry Cough': [Dry_Cough],
+        'Snoring': [Snoring],
+    }
+    Xinp = pd.DataFrame(data)
+    print(Xinp)
+
+    # Predict the level
+    Level = model.predict(Xinp)
+
+    # return the level
+    return Level[0]
+
+# Create the gradio interface
+
+ui = gr.Interface(
+    fn = predict_Level,
+    inputs = [
+        gr.inputs.Textbox(placeholder='Age', default="33", numeric=True,label='Age'),
+        gr.inputs.Textbox(placeholder='Gender', default="1", numeric=True,label='Gender'), 
+        gr.inputs.Textbox(placeholder='Air_Pollution', default="2",numeric=True,label='Air Pollution'), 
+        gr.inputs.Textbox(placeholder='Alcohol_use', default="4",numeric=True,label='Alcohol use'),
+        gr.inputs.Textbox(placeholder='Dust_Allergy', default="5",numeric=True,label='Dust Allergy'),
+        gr.inputs.Textbox(placeholder='OccuPational_Hazards', default="4",numeric=True,label='OccuPational Hazards'),
+        gr.inputs.Textbox(placeholder='Genetic_Risk', default="3",numeric=True,label='Genetic Risk'),
+        gr.inputs.Textbox(placeholder='chronic_Lung_Disease', default="2",numeric=True,label='chronic Lung Disease'),
+        gr.inputs.Textbox(placeholder='Balanced_Diet', default="2",numeric=True,label='Balanced Diet'),
+        gr.inputs.Textbox(placeholder='Obesity', default="4", numeric=True,label='Obesity'),
+        gr.inputs.Textbox(placeholder='Smoking', default="3", numeric=True,label='Smoking'),
+        gr.inputs.Textbox(placeholder='Passive_Smoker', default="2", numeric=True,label='Passive Smoker'),
+        gr.inputs.Textbox(placeholder='Chest_Pain', default="2", numeric=True,label='Chest Pain'),
+        gr.inputs.Textbox(placeholder='Coughing_of_Blood', default="4", numeric=True,label='Coughing of Blood'),
+        gr.inputs.Textbox(placeholder='Fatigue', default="3",numeric=True,label='Fatigue'),
+        gr.inputs.Textbox(placeholder='Weight_Loss', default="4", numeric=True,label='Weight Loss'),
+        gr.inputs.Textbox(placeholder='Shortness_of_Breath', default="2", numeric=True,label='Shortness of Breath'),
+        gr.inputs.Textbox(placeholder='Wheezing', default="2",numeric=True,label='Wheezing'),
+        gr.inputs.Textbox(placeholder='Swallowing_Difficulty', default="3", numeric=True,label='Swallowing Difficulty'),
+        gr.inputs.Textbox(placeholder='Clubbing_of_Finger_Nails', default="1", numeric=True,label='Clubbing of Finger Nails'),
+        gr.inputs.Textbox(placeholder='Frequent_Cold', default="2", numeric=True,label='Frequent Cold'),
+        gr.inputs.Textbox(placeholder='Dry_Cough', default="3", numeric=True,label='Dry Cough'),
+        gr.inputs.Textbox(placeholder='Snoring', default="4", numeric=True,label='Snoring'),
+        
+    ],
+    outputs = "text",
+)
+
+if __name__ == "__main__":      
+    ui.launch(share=False)

Lung_cancer_prediction.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a757bc1114cfbb7e9721b89dc0a792e32eb62e07e794935d5691149c186046a0
+size 3313

requirements.txt

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+pandas 
+numpy
+gradio
+joblib