Update app.py
Browse files
app.py
CHANGED
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@@ -16,22 +16,39 @@ def image_to_base64(image_path):
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return base64.b64encode(img_file.read()).decode()
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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# Dati di esempio predefiniti
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esempi = {
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"Frontal
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"Frontal
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"Frontal
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"Lateral
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"Lateral
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"Lateral
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"Report
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"Report
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"Report
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"Frontal + Lateral
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"Frontal + Report
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"Lateral + Report
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}
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@@ -141,7 +158,7 @@ if st.session_state['step'] == 1:
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# Immagine con didascalia migliorata e con dimensione della caption aumentata
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image_path = "./DEMO/Loghi/model_final.png" # Sostituisci con il percorso della tua immagine
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st.image(image_path, caption='',
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# Caption con dimensione del testo migliorata
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st.markdown("""
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@@ -163,10 +180,10 @@ if st.session_state['step'] == 1:
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if st.session_state['step'] == 2:
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# Opzioni disponibili
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options = [
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"Frontal
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"Lateral
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"Report
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"Frontal + Lateral
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]
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# Messaggio di selezione con dimensione aumentata
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@@ -220,17 +237,17 @@ if st.session_state['step'] == 3:
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unsafe_allow_html=True)
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# Carica l'immagine frontale
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if "Frontal" in st.session_state['selected_option'].split("
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st.markdown("<h5 style='font-size: 18px;'>Load the Frontal X-ray in DICOM format</h5>", unsafe_allow_html=True)
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st.session_state['frontal_file'] = st.file_uploader("", type=["dcm"])
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# Carica l'immagine laterale
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if "Lateral" in st.session_state['selected_option'].split("
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st.markdown("<h5 style='font-size: 18px;'>Load the Lateral X-ray in DICOM format</h5>", unsafe_allow_html=True)
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st.session_state['lateral_file'] = st.file_uploader("", type=["dcm"])
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# Inserisci il report clinico
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if "Report" in st.session_state['selected_option'].split("
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st.markdown("<h5 style='font-size: 18px;'>Type the clinical report</h5>", unsafe_allow_html=True)
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st.session_state['report'] = st.text_area("", value=st.session_state['report'])
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@@ -249,11 +266,11 @@ if st.session_state['step'] == 3:
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with st.spinner("Preprocessing the data..."):
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time.sleep(3)
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# Controllo che i file necessari siano stati caricati
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if "Frontal" in st.session_state['selected_option'].split("
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st.error("Load the Frontal image.")
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elif "Lateral" in st.session_state['selected_option'].split("
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st.error("Load the Lateral image.")
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elif "Report" in st.session_state['selected_option'].split("
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st.error("Type the clinical report.")
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else:
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st.write(f"Execution of: {st.session_state['selected_option']}")
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@@ -319,20 +336,20 @@ if st.session_state['step'] == 3:
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st.write(f"Loaded Report: {report}")
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inputs = []
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if "Frontal" in st.session_state['selected_option'].split("
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inputs.append('frontal')
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if "Lateral" in st.session_state['selected_option'].split("
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inputs.append('lateral')
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if "Report" in st.session_state['selected_option'].split("
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inputs.append('text')
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# Ora vediamo cosa c'Γ¨ dopo la freccia
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outputs = []
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if "Frontal" in st.session_state['selected_option'].split("
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outputs.append('frontal')
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if "Lateral" in st.session_state['selected_option'].split("
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outputs.append('lateral')
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if "Report" in st.session_state['selected_option'].split("
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outputs.append('text')
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# Ultima cosa che va fatta Γ¨ passare allo step 4, prima di farlo perΓ², tutte le variabili che ci servono
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@@ -383,26 +400,26 @@ if st.session_state['step'] == 5:
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unsafe_allow_html=True)
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inputs = []
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if "Frontal" in st.session_state['selected_option'].split("
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inputs.append('Frontal')
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if "Lateral" in st.session_state['selected_option'].split("
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inputs.append('Lateral')
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if "Report" in st.session_state['selected_option'].split("
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inputs.append('Report')
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outputs = []
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if "Frontal" in st.session_state['selected_option'].split("
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outputs.append('Frontal')
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if "Lateral" in st.session_state['selected_option'].split("
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outputs.append('Lateral')
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if "Report" in st.session_state['selected_option'].split("
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outputs.append('Report')
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esempio = esempi[st.session_state['selected_option']]
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# Mostra i file associati all'esempio
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st.markdown(
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"<h3 style='text-align:
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unsafe_allow_html=True)
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# Colonne per gli INPUTS
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@@ -431,7 +448,7 @@ if st.session_state['step'] == 5:
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st.write(f"Report: {esempio['Report']}")
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st.markdown(
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"<h3 style='text-align:
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unsafe_allow_html=True)
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# Colonne per gli OUTPUTS
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return base64.b64encode(img_file.read()).decode()
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st.markdown("""
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<style>
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@font-face {
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font-family: 'Palatino';
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font-style: normal;
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font-weight: 400;
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src: local('Palatino Linotype'), local('Book Antiqua'),
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url(https://fonts.gstatic.com/s/cardo/v22/wlp_gwIBjINFON1YNFX6WcrrlQ.ttf) format('truetype');
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}
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/* Applica il font a tutto */
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html, body, [class*="st"] {
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font-family: 'Palatino', serif;
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}
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</style>
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""", unsafe_allow_html=True)
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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# Dati di esempio predefiniti
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esempi = {
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"Frontal β Lateral": {'Frontal': 'FtoL.png', 'Lateral': 'LfromF.png'},
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"Frontal β Report": {'Frontal': '31d9847f-987fcf63-704f7496-d2b21eb8-63cd973e.tiff', 'Report': 'Small bilateral pleural effusions, left greater than right.'},
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"Frontal β Lateral + Report": {'Frontal': '81bca127-0c416084-67f8033c-ecb26476-6d1ecf60.tiff', 'Lateral': 'd52a0c5c-bb7104b0-b1d821a5-959984c3-33c04ccb.tiff', 'Report': 'No acute intrathoracic process. Heart Size is normal. Lungs are clear. No pneumothorax'},
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"Lateral β Frontal": {'Lateral': 'LtoF.png', 'Frontal': 'FfromL.png'},
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"Lateral β Report": {'Lateral': 'd52a0c5c-bb7104b0-b1d821a5-959984c3-33c04ccb.tiff', 'Report': 'no acute cardiopulmonary process. if concern for injury persists, a dedicated rib series with markers would be necessary to ensure no rib fractures.'},
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"Lateral β Frontal + Report": {'Lateral': 'reald52a0c5c-bb7104b0-b1d821a5-959984c3-33c04ccb.tiff', 'Frontal': 'ab37274f-b4c1fc04-e2ff24b4-4a130ba3-cd167968.tiff', 'Report': 'No acute intrathoracic process. If there is strong concern for rib fracture, a dedicated rib series may be performed.'},
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"Report β Frontal": {'Report': 'Left lung opacification which may reflect pneumonia superimposed on metastatic disease.', 'Frontal': '02aa804e-bde0afdd-112c0b34-7bc16630-4e384014.tiff'},
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"Report β Lateral": {'Report': 'Bilateral pleural effusions, cardiomegaly and mild edema suggest fluid overload.', 'Lateral': '489faba7-a9dc5f1d-fd7241d6-9638d855-eaa952b1.tiff'},
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"Report β Frontal + Lateral": {'Report': 'No acute intrathoracic process. The lungs are clean and heart is normal size.', 'Frontal': 'f27ba7cd-44486c2e-29f3e890-f2b9f94e-84110448.tiff', 'Lateral': 'b20c9570-de77944a-b8604ba0-73305a7b-d608a72b.tiff'},
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"Frontal + Lateral β Report": {'Frontal': '95856dd1-5878b5b1-9c104817-760c0122-6187946f.tiff', 'Lateral': '3723d912-71940d69-4fef2dd2-27af5a7b-127ba20c.tiff', 'Report': 'Opacities in the right upper or middle lobe, maybe early pneumonia.'},
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"Frontal + Report β Lateral": {'Frontal': 'e7f21453-7956d79a-44e44614-fae8ff16-d174d1a0.tiff', 'Report': 'No focal consolidation.', 'Lateral': '8037e6b9-06367464-a4ccd63a-5c5c5a81-ce3e7ffc.tiff'},
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"Lateral + Report β Frontal": {'Lateral': '02c66644-b1883a91-54aed0e7-62d25460-398f9865.tiff', 'Report': 'No evidence of acute cardiopulmonary process.', 'Frontal': 'b1f169f1-12177dd5-2fa1c4b1-7b816311-85d769e9.tiff'}
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}
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# Immagine con didascalia migliorata e con dimensione della caption aumentata
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image_path = "./DEMO/Loghi/model_final.png" # Sostituisci con il percorso della tua immagine
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st.image(image_path, caption='', use_column_width=True)
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# Caption con dimensione del testo migliorata
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st.markdown("""
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if st.session_state['step'] == 2:
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# Opzioni disponibili
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options = [
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"Frontal β Lateral", "Frontal β Report", "Frontal β Lateral + Report",
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"Lateral β Frontal", "Lateral β Report", "Lateral β Frontal + Report",
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"Report β Frontal", "Report β Lateral", "Report β Frontal + Lateral",
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"Frontal + Lateral β Report", "Frontal + Report β Lateral", "Lateral + Report β Frontal"
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]
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# Messaggio di selezione con dimensione aumentata
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unsafe_allow_html=True)
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# Carica l'immagine frontale
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if "Frontal" in st.session_state['selected_option'].split(" β")[0]:
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st.markdown("<h5 style='font-size: 18px;'>Load the Frontal X-ray in DICOM format</h5>", unsafe_allow_html=True)
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st.session_state['frontal_file'] = st.file_uploader("", type=["dcm"])
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# Carica l'immagine laterale
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if "Lateral" in st.session_state['selected_option'].split(" β")[0]:
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st.markdown("<h5 style='font-size: 18px;'>Load the Lateral X-ray in DICOM format</h5>", unsafe_allow_html=True)
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st.session_state['lateral_file'] = st.file_uploader("", type=["dcm"])
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# Inserisci il report clinico
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if "Report" in st.session_state['selected_option'].split(" β")[0]:
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st.markdown("<h5 style='font-size: 18px;'>Type the clinical report</h5>", unsafe_allow_html=True)
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st.session_state['report'] = st.text_area("", value=st.session_state['report'])
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with st.spinner("Preprocessing the data..."):
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time.sleep(3)
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# Controllo che i file necessari siano stati caricati
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if "Frontal" in st.session_state['selected_option'].split(" β")[0] and not st.session_state['frontal_file']:
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st.error("Load the Frontal image.")
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elif "Lateral" in st.session_state['selected_option'].split(" β")[0] and not st.session_state['lateral_file']:
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st.error("Load the Lateral image.")
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elif "Report" in st.session_state['selected_option'].split(" β")[0] and not st.session_state['report']:
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st.error("Type the clinical report.")
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else:
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st.write(f"Execution of: {st.session_state['selected_option']}")
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st.write(f"Loaded Report: {report}")
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inputs = []
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if "Frontal" in st.session_state['selected_option'].split(" β")[0]:
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inputs.append('frontal')
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if "Lateral" in st.session_state['selected_option'].split(" β")[0]:
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inputs.append('lateral')
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if "Report" in st.session_state['selected_option'].split(" β")[0]:
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inputs.append('text')
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# Ora vediamo cosa c'Γ¨ dopo la freccia
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outputs = []
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if "Frontal" in st.session_state['selected_option'].split(" β")[1]:
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outputs.append('frontal')
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if "Lateral" in st.session_state['selected_option'].split(" β")[1]:
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outputs.append('lateral')
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if "Report" in st.session_state['selected_option'].split(" β")[1]:
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outputs.append('text')
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# Ultima cosa che va fatta Γ¨ passare allo step 4, prima di farlo perΓ², tutte le variabili che ci servono
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unsafe_allow_html=True)
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inputs = []
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if "Frontal" in st.session_state['selected_option'].split(" β")[0]:
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inputs.append('Frontal')
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if "Lateral" in st.session_state['selected_option'].split(" β")[0]:
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inputs.append('Lateral')
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if "Report" in st.session_state['selected_option'].split(" β")[0]:
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inputs.append('Report')
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outputs = []
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if "Frontal" in st.session_state['selected_option'].split(" β")[1]:
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outputs.append('Frontal')
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if "Lateral" in st.session_state['selected_option'].split(" β")[1]:
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outputs.append('Lateral')
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if "Report" in st.session_state['selected_option'].split(" β")[1]:
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outputs.append('Report')
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esempio = esempi[st.session_state['selected_option']]
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# Mostra i file associati all'esempio
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st.markdown(
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"<h3 style='text-align: center'><strong>INPUT:</strong></h3>",
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unsafe_allow_html=True)
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# Colonne per gli INPUTS
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st.write(f"Report: {esempio['Report']}")
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st.markdown(
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"<h3 style='text-align: center'><strong>OUTPUT:</strong></h3>",
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unsafe_allow_html=True)
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# Colonne per gli OUTPUTS
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