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app.py
CHANGED
@@ -29,7 +29,8 @@ def classify_images(classifier_model, dataset_to_classify):
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'''
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return "done"
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-
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def main():
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st.title("Bulk Image Classification")
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@@ -59,24 +60,29 @@ def main():
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'''
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if shosen_model_name is not None and shosen_dataset_name is not None:
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if st.button("Classify images"):
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st.write("# FLAG 1")
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dataset = load_dataset(shosen_dataset_name,"testedata_readme")
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st.write("# FLAG 2")
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#
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#image_object = dataset['pasta'][0]["image"]
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#st.image(image_object, caption="Uploaded Image", use_column_width=True)
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#st.image(dataset[0], caption="Uploaded Image", use_column_width=True)
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image_object = dataset['pasta'][0]["image"]
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st.image(image_object, caption="Uploaded Image", use_column_width=True)
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st.write("# FLAG 3")
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st.write("# FLAG 4")
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if __name__ == "__main__":
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'''
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return "done"
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def classify(image, classifier_pipeline):
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return "done"
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def main():
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st.title("Bulk Image Classification")
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'''
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if shosen_model_name is not None and shosen_dataset_name is not None:
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if st.button("Classify images"):
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+
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classification_obj1 =[]
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st.write("# FLAG 1")
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dataset = load_dataset(shosen_dataset_name,"testedata_readme")
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st.write("# FLAG 2")
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#Igame
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image_object = dataset['pasta'][0]["image"]
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st.image(image_object, caption="Uploaded Image", use_column_width=True)
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st.write("# FLAG 3")
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#modle instance
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classifier_pipeline = pipeline('image-classification', model=shosen_model_name, device=0)
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st.write("# FLAG 4")
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#classification
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classification_result = classify(image_object, classifier_pipeline)
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st.write(classification_result)
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st.write("# FLAG 5")
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classification_obj1.append(classification_result)
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st.write("# FLAG 6")
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st.write(classification_obj1)
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if __name__ == "__main__":
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