Upload 3 files

app.py

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+import gradio as gr
+import tensorflow as tf
+import numpy as np
+from PIL import Image
+
+interpreter = tf.lite.Interpreter(model_path="leaf_model.tflite")
+interpreter.allocate_tensors()
+input_details = interpreter.get_input_details()
+output_details = interpreter.get_output_details()
+
+def classify(image):
+    img = image.resize((224, 224)).convert("RGB")
+    img_array = np.array(img) / 255.0
+    img_array = np.expand_dims(img_array, axis=0).astype(np.float32)
+
+    interpreter.set_tensor(input_details[0]['index'], img_array)
+    interpreter.invoke()
+    output = interpreter.get_tensor(output_details[0]['index'])[0][0]
+    return "Unhealthy" if output > 0.5 else "Healthy"
+
+iface = gr.Interface(fn=classify, inputs=gr.Image(type="pil"), outputs="text")
+iface.launch()

leaf_model.tflite

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b796a2ea5756e8a3372ee107d4cd382de937c341cf1d7dddd3823e084a959bb7
+size 9520748

requirements.txt

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+gradio==4.27.0
+tensorflow==2.15.0
+numpy
+Pillow