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Update app.py
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app.py
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@@ -9,12 +9,8 @@ from huggingface_hub import HfFileSystem
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from flax.serialization import msgpack_restore, from_state_dict
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import os
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hf_key = text_input = st.text_input("Access token")
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class CNN(nn.Module):
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"""A simple CNN model."""
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@@ -35,28 +31,10 @@ class CNN(nn.Module):
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cnn = CNN()
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params = cnn.init(jax.random.PRNGKey(0), jnp.ones([1, 28, 28, 1]))['params']
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fs = HfFileSystem(token=hf_key)
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with fs.open("PrakhAI/HelloWorld/checkpoint.msgpack", "rb") as f:
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params = from_state_dict(params, msgpack_restore(f.read())["params"])
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# print(type(state))
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# print(state)
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# print([(k, type(v)) for (k, v) in state.items()])
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# print(state['params'])
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# print(state['opt_state'])
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# logits = state.apply_fn({'params': state.params}, batch['image'])
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# print(logits)
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# x = st.slider('Select a value')
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# st.write(x, 'squared is', x * x)
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# print(dir(cnn))
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uploaded_files = st.file_uploader("Input Images of handwritten digit (example in files)", type=['jpg','png','tif'], accept_multiple_files=True)
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if len(uploaded_files) == 0:
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from flax.serialization import msgpack_restore, from_state_dict
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import os
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hf_key = text_input = st.text_input("Access token")
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class CNN(nn.Module):
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"""A simple CNN model."""
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cnn = CNN()
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params = cnn.init(jax.random.PRNGKey(0), jnp.ones([1, 28, 28, 1]))['params']
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fs = HfFileSystem(token=hf_key)
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with fs.open("PrakhAI/HelloWorld/checkpoint.msgpack", "rb") as f:
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params = from_state_dict(params, msgpack_restore(f.read())["params"])
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uploaded_files = st.file_uploader("Input Images of handwritten digit (example in files)", type=['jpg','png','tif'], accept_multiple_files=True)
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if len(uploaded_files) == 0:
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