Upload 3 files
Browse files- .gitattributes +1 -0
- app.py +48 -0
- plantvillage_efficientnet_b0.keras +3 -0
- requirements.txt +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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plantvillage_efficientnet_b0.keras filter=lfs diff=lfs merge=lfs -text
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app.py
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import gradio as gr
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import tensorflow as tf
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import numpy as np
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import os
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# 1. Load the model with error handling
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try:
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model_path = 'plantvillage_efficientnet_b0.keras'
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if not os.path.exists(model_path):
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raise FileNotFoundError(f"Model file {model_path} not found in Space!")
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model = tf.keras.models.load_model(model_path, compile=False)
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print("Model loaded successfully!")
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except Exception as e:
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print(f"CRITICAL ERROR LOADING MODEL: {e}")
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model = None
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classes = [
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'Pepper__bell___Bacterial_spot', 'Pepper__bell___healthy', 'Potato___Early_blight',
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'Potato___Late_blight', 'Potato___healthy', 'Tomato_Bacterial_spot',
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'Tomato_Early_blight', 'Tomato_Late_blight', 'Tomato_Leaf_Mold',
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'Tomato_Septoria_leaf_spot', 'Tomato_Spider_mites_Two_spotted_spider_mite',
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'Tomato__Target_Spot', 'Tomato__Tomato_YellowLeaf__Curl_Virus',
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'Tomato__Tomato_mosaic_virus', 'Tomato_healthy'
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]
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def predict(image):
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if model is None:
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return "Error: Model failed to load. Check Space logs."
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img = tf.cast(image, tf.float32)
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img = tf.image.resize(img, (224, 224))
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img = tf.keras.applications.efficientnet.preprocess_input(img)
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img = tf.expand_dims(img, axis=0)
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preds = model.predict(img)[0]
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return {classes[i]: float(preds[i]) for i in range(len(classes))}
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demo = gr.Interface(
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fn=predict,
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inputs=gr.Image(),
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outputs=gr.Label(num_top_classes=3),
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title="Plant Disease Detector",
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description="Identify plant leaf diseases."
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)
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if __name__ == '__main__':
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demo.launch()
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plantvillage_efficientnet_b0.keras
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version https://git-lfs.github.com/spec/v1
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oid sha256:1db71d8fafcc5a0b0d7868dc3227310972017ab27ebefb7ebfa0d90e85e9bb18
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size 59863969
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requirements.txt
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tensorflow
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gradio
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numpy
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