implementing predict smiles
Browse files
app.py
CHANGED
@@ -90,7 +90,7 @@ if image_file is not None:
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atom_preds = trainer.predict(model_atom, dataset.test_dataloader())
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bond_preds = trainer.predict(model_bond, dataset.test_dataloader())
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stereo_preds = trainer.predict(model_stereo, dataset.test_dataloader())
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-
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st.toast('Done')
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#st.write(atom_preds)
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plt.imshow(image, cmap="gray")
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atom_preds = trainer.predict(model_atom, dataset.test_dataloader())
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bond_preds = trainer.predict(model_bond, dataset.test_dataloader())
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stereo_preds = trainer.predict(model_stereo, dataset.test_dataloader())
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+
charges_preds = trainer.predict(model_charge, dataset.test_dataloader())
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st.toast('Done')
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#st.write(atom_preds)
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plt.imshow(image, cmap="gray")
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