Added files

DS11Sudhanva.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:09b7f5de5f07156815ddcd45e8ec0ea17ff998eaf6d4a35cb181c29fde6b6f67
+size 153628864

app.py

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+from tensorflow.keras.models import load_model
+import gradio as gr
+import PIL.Image as Image
+import numpy as np
+
+model = load_model('DS11Sudhanva.h5')
+
+classnames = ['cardboard', 'metal','paper','plastic','trash','green-glass','white-glass','brown-glass','clothes','biological','battery','shoes']
+
+def predict(img):
+    img=img.reshape(-1,298, 384,3)
+    prediction = model.predict(img[0])
+    return {classnames[i]: float(prediction[i]) for i in range(12)}
+
+image = gr.inputs.Image(shape=(298, 384))
+label = gr.outputs.Label(num_top_classes=3)
+
+gr.Interface(fn=predict, inputs=image,  title="Garbage Classifier",
+    description="This is a Garbage Classification Model Trained using Dataset 11 by Sud.Deployed to Hugging Faces using Gradio.",outputs=label,interpretation='default').launch()
+

requirements.txt

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+numpy
+tensorflow
+Pillow
+matplotlib