Upload 5 files

.gitattributes

@@ -0,0 +1 @@
+imageclassifier[[:space:]].h5 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,51 @@
+from flask import Flask, request, jsonify
+import tensorflow as tf
+import numpy as np
+from PIL import Image
+import io
+
+# Initialize Flask application
+app = Flask(__name__)
+
+# Load the pre-trained TensorFlow model
+model = tf.keras.models.load_model("imageclassifier.h5")
+
+# Define the function to predict the teeth health
+def predict_teeth_health(image):
+    # Convert the PIL image object to a file-like object
+    image_bytes = io.BytesIO()
+    image.save(image_bytes, format="JPEG")
+
+    # Load the image from the file-like object
+    image = tf.keras.preprocessing.image.load_img(image_bytes, target_size=(256, 256))
+    image = tf.keras.preprocessing.image.img_to_array(image)
+    image = np.expand_dims(image, axis=0)
+
+    # Make a prediction
+    prediction = model.predict(image)
+
+    # Get the probability of being 'Good'
+    probability_good = prediction[0][0]  # Assuming it's a binary classification
+
+    # Define the prediction result
+    result = {
+        "prediction": "Your Teeth are Good & You Don't Need To Visit Doctor" if probability_good > 0.5 else "Your Teeth are Bad & You Need To Visit Doctor"
+    }
+
+    return result
+
+# Define route to accept image and return prediction
+@app.route('/predict', methods=['POST'])
+def predict():
+    # Ensure an image was properly uploaded to our endpoint
+    if request.method == 'POST':
+        file = request.files['image']
+        if file:
+            # Read the image using PIL
+            img = Image.open(file.stream)
+            # Perform prediction
+            prediction = predict_teeth_health(img)
+            return jsonify(prediction)
+
+if __name__ == '__main__':
+    app.run(debug=True)

gitattributes

@@ -0,0 +1,36 @@
+*.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
+*.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
+dentella.keras filter=lfs diff=lfs merge=lfs -text

imageclassifier .h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:388a0e596a50467c131590da43adab2e90a013d6e6c1236320e072e4b11df1ad
+size 22375248

requirements.txt

@@ -0,0 +1,3 @@
+numpy
+pandas
+catboost==1.2