chris1nexus
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877ebc7
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README.md
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---
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title:
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emoji: π
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colorFrom: purple
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colorTo: yellow
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---
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title: AioMedica
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emoji: π
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colorFrom: purple
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colorTo: yellow
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app.py
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os.environ['GT_WEIGHT_PATH'] = os.path.join(os.environ['WEIGHTS_PATH'], 'graph_transformer', 'GraphCAM.pth')
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st.set_page_config(page_title="",layout='wide')
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predictor = load_model()#Predictor()
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<a href="https://github.com/Chris1nexus/inference-graph-transformer" target="_blank">Project Repository</a>
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</p>
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<p class="aligncenter">
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<a href="https://github.com/Chris1nexus/inference-graph-transformer" target="_blank">
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<img src="https://img.shields.io/github/stars/Chris1nexus/inference-graph-transformer?style=social"/>
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</a>
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)
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if choice == "About":
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st.title(choice)
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if choice == "Visualize WSI slide":
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st.title(choice)
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if choice == "Cancer Detection":
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state = dict()
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st.title(choice)
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st.markdown(DETECT_TEXT)
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uploaded_file = st.file_uploader("Choose a WSI slide file to diagnose (.svs)")
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if uploaded_file is not None:
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# To read file as bytes:
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#print(uploaded_file)
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os.environ['GT_WEIGHT_PATH'] = os.path.join(os.environ['WEIGHTS_PATH'], 'graph_transformer', 'GraphCAM.pth')
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#st.set_page_config(page_title="",layout='wide')
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predictor = load_model()#Predictor()
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<a href="https://github.com/Chris1nexus/inference-graph-transformer" target="_blank">Project Repository</a>
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</p>
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<p class="aligncenter">
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<a href="https://github.com/Chris1nexus/inference-graph-transformer" target="_blank">
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<img src="https://img.shields.io/github/stars/Chris1nexus/inference-graph-transformer?style=social"/>
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</a>
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)
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if choice == "About":
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st.title(choice)
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README = requests.get("https://raw.githubusercontent.com/Chris1nexus/inference-graph-transformer/master/README.md").text
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README = str(README).replace('width="1200"','width="700"')
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# st.title(choose)
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st.markdown(README, unsafe_allow_html=True)
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if choice == "Visualize WSI slide":
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st.title(choice)
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if choice == "Cancer Detection":
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state = dict()
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st.title(choice)
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st.markdown(DETECT_TEXT)
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uploaded_file = st.file_uploader("Choose a WSI slide file to diagnose (.svs)")
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st.markdown("Examples can be chosen at the [GDC Data repository](https://portal.gdc.cancer.gov/repository?facetTab=cases&filters=%7B%22op%22%3A%22and%22%2C%22content%22%3A%5B%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.primary_site%22%2C%22value%22%3A%5B%22bronchus%20and%20lung%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.program.name%22%2C%22value%22%3A%5B%22TCGA%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.project_id%22%2C%22value%22%3A%5B%22TCGA-LUAD%22%2C%22TCGA-LUSC%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22files.experimental_strategy%22%2C%22value%22%3A%5B%22Tissue%20Slide%22%5D%7D%7D%5D%7D)")
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st.markdown("Alternatively, for simplicity few test cases are provided at the [drive link](https://drive.google.com/drive/folders/1u3SQa2dytZBHHh6eXTlMKY-pZGZ-pwkk?usp=share_link)")
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if uploaded_file is not None:
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# To read file as bytes:
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#print(uploaded_file)
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