jfataphd commited on
Commit
c160c22
·
1 Parent(s): 2a9a639

Update app.py

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Files changed (1) hide show
  1. app.py +8 -3
app.py CHANGED
@@ -72,7 +72,7 @@ st.markdown("""
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  st.header(":red[*O*]nco:red[*D*]igger")
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  st.subheader(
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- "A web app designed to explore massive amounts of :red[*PubMed abstracts*] for a deeper understanding of your research. Results are driven "
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  "by Machine Learning and Natural Language Processing algorithms, which allow you to scan and mine information from hundreds of thousands of abstracts in seconds.")
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@@ -107,7 +107,7 @@ opt = st.sidebar.radio("Select a PubMed Corpus (1990-2022)", options=(
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  'Lymphoma Cancer corpus', 'Leukemia Cancer corpus', 'Brain Cancer corpus',
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  'Prostate Cancer corpus', 'Liver Cancer corpus', 'Myeloma Cancer corpus', 'Uterine Cancer corpus', 'Urinary Cancer corpus',
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  'Kidney Cancer corpus', 'Stomach Cancer corpus', 'Bone Cancer corpus','Cervical Cancer corpus', 'Ovarian Cancer corpus', 'Bladder Cancer corpus',
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- 'Pancreas Cancer corpus', 'Esophageal Cancer corpus', 'Thyroid Cancer corpus', 'Neuroblastoma Cancer corpus', 'Testicular Cancer corpus'
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  ))
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  # if opt == "Clotting corpus":
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  # model_used = ("pubmed_model_clotting")
@@ -235,7 +235,12 @@ if opt == "Testicular Cancer corpus":
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  if opt == "Esophageal Cancer corpus":
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  model_used = ("esophageal_cancer_pubmed_model")
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  num_abstracts = 30660
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- database_name = "esophageal_cancer"
 
 
 
 
 
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  st.sidebar.markdown(f"**Number of abstracts in this selection:** {num_abstracts}")
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  st.header(f":blue[{database_name} Pubmed corpus.]")
 
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  st.header(":red[*O*]nco:red[*D*]igger")
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  st.subheader(
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+ "A web app designed to explore massive amounts of :red[*PubMed Cancer abstracts*] for a deeper understanding of your research. Results are driven "
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  "by Machine Learning and Natural Language Processing algorithms, which allow you to scan and mine information from hundreds of thousands of abstracts in seconds.")
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  'Lymphoma Cancer corpus', 'Leukemia Cancer corpus', 'Brain Cancer corpus',
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  'Prostate Cancer corpus', 'Liver Cancer corpus', 'Myeloma Cancer corpus', 'Uterine Cancer corpus', 'Urinary Cancer corpus',
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  'Kidney Cancer corpus', 'Stomach Cancer corpus', 'Bone Cancer corpus','Cervical Cancer corpus', 'Ovarian Cancer corpus', 'Bladder Cancer corpus',
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+ 'Pancreas Cancer corpus', 'Esophageal Cancer corpus', 'Thyroid Cancer corpus', 'Neuroblastoma Cancer corpus', 'Testicular Cancer corpus', 'Laryngeal Cancer corpus'
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  ))
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  # if opt == "Clotting corpus":
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  # model_used = ("pubmed_model_clotting")
 
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  if opt == "Esophageal Cancer corpus":
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  model_used = ("esophageal_cancer_pubmed_model")
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  num_abstracts = 30660
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+ database_name = "Esophageal_cancer"
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+ st.sidebar.markdown(f"**Number of abstracts in this selection:** {num_abstracts}")
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+ if opt == "Laryngeal Cancer corpus":
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+ model_used = ("laryngeal_cancer_pubmed_model")
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+ num_abstracts = 10218
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+ database_name = "Laryngeal_cancer"
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  st.sidebar.markdown(f"**Number of abstracts in this selection:** {num_abstracts}")
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  st.header(f":blue[{database_name} Pubmed corpus.]")