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app.py

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+import gradio as gr
+import tensorflow as tf
+import numpy as np
+import pandas as pd
+from PIL import Image
+
+# Load trained models
+malaria_model = tf.keras.models.load_model("malaria_model.h5")
+pneumonia_model = tf.keras.models.load_model("pneumonia_model.h5")
+cancer_model = tf.keras.models.load_model("breast_cancer_model.h5")
+diabetes_model = tf.keras.models.load_model("diabetes_model.h5")
+
+# Function to preprocess images
+def preprocess_image(image):
+    img = image.convert("RGB").resize((128, 128))
+    img_array = np.array(img) / 255.0
+    img_array = np.expand_dims(img_array, axis=0)
+    return img_array
+
+# Function to make predictions
+def predict_disease(file, disease):
+    if disease in ["Malaria", "Pneumonia"]:
+        img_array = preprocess_image(file)
+        model = malaria_model if disease == "Malaria" else pneumonia_model
+        prediction = model.predict(img_array)
+        return "Infected" if prediction[0][0] > 0.5 else "Uninfected"
+
+    elif disease in ["Breast Cancer", "Diabetes"]:
+        df = pd.read_csv(file)
+        model = cancer_model if disease == "Breast Cancer" else diabetes_model
+        prediction = model.predict(df)
+        return ["Positive" if p > 0.5 else "Negative" for p in prediction]
+
+    return "Invalid disease selected"
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=predict_disease,
+    inputs=[gr.File(), gr.Radio(["Malaria", "Pneumonia", "Breast Cancer", "Diabetes"])],
+    outputs="text",
+    title="Disease Prediction App",
+    description="Upload an image (for Malaria/Pneumonia) or a CSV file (for Breast Cancer/Diabetes) to get a prediction."
+)
+
+# Run the app
+interface.launch()

breast_cancer_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8d23c824876a859b1b42b848bd537ca3d1134888b1d6723f94f06b6ab4f58a72
+size 47144

diabetes_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8586302f3f933089837037a37b4d4fe50491b86c6b0a05b89fad3fc8258d68cd
+size 37192

malaria_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a55593c274bd2f96b12497cd90177644e876b5f60e39815f1a104108569cae52
+size 14010440

pneumonia_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c71733f77266a4f3e4714c74f365df98f9e6eb460a30dcaa938e02f82f88a261
+size 63147432