feat: initial changes

.streamlit/config.toml

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+[theme]
+primaryColor="#FFFFFF"
+backgroundColor="#FFFFFF"
+secondaryBackgroundColor="#0099aa"
+textColor="#262730"
+font="sans serif"
+
+[global]
+showWarningOnDirectExecution = false
+
+[logger]
+level = "critical"

app.py

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+import streamlit as st
+import pandas as pd
+import os
+from pathlib import Path
+from streamlit.errors import DuplicateWidgetID
+
+main_content, right_sidebar = st.columns([50, 2])
+
+@st.cache_data()
+def toggle_state():
+    return {"toggled": False}
+
+if 'onthology' not in st.session_state:
+    st.session_state['onthology'] = "No onthology selected"
+
+def get_similar_meta_file(path):
+    return path.parent / (str(path.stem) + "_meta.csv")
+
+def projects():
+    with main_content:
+        projects = ["my_project", "make_it_meta"]
+        st.markdown("# Project Creation and Naming")
+
+        markdown = ""
+
+        for project in projects:
+            markdown += f"- {project}\n"
+
+        st.markdown(markdown)
+
+def datasets():
+    with main_content:
+        try:
+            datasets = list((Path("..").resolve() / "samples").glob("*"))
+            datasets_not_meta = [x for x in datasets if ("csv" in str(x) or "tsv" in str(x)) and "_meta" not in str(x)]
+            datasets_meta = [x for x in datasets if ("csv" in str(x) or "tsv" in str(x)) and "_meta" in str(x)]
+
+            st.markdown("# Data selection and Uploading")
+            selected_option = st.selectbox("Select a dataset", set([x.stem for x in datasets_not_meta if get_similar_meta_file(x) in datasets_meta]))      
+            
+            selected_mode = st.selectbox("Select mode", ["Causual", "Makeitmeta"])
+            
+
+            for file in datasets:
+                if selected_option == file.stem:  
+                    sep = "," if "csv" in file.stem else "\t"      
+                    if selected_mode == "Makeitmeta":
+                        file = get_similar_meta_file(file)
+                        sep = ","
+                    
+                    df = pd.read_csv(str(file), sep=sep)
+                    st.data_editor(df, key="data_editor_" + str(selected_mode))
+
+            st.markdown("### If you want to upload a dataset you can do it below:")
+
+            uploaded_file = st.file_uploader("Upload a file", type=["txt", "pdf", "jpg", "png"])
+
+            if uploaded_file is not None:
+                # Do something with the uploaded file, e.g., display its name
+                st.write(uploaded_file.name)
+        except DuplicateWidgetID as e:
+            pass
+def labeling():
+    with main_content:
+        st.markdown("# Labeling selection and Uploading")
+        if st.session_state.onthology:
+            st.markdown(f"### Current onthologdy: {st.session_state.onthology}")
+    with right_sidebar:
+        query = st.text_input('Search bar', '')
+        if query == "":
+            st.write("Search results")
+        else:
+            st.write(f"Printing results for query: {query}")
+
+
+def ontologies():
+    with main_content:
+        onthologies = ["caDSR", "UMLS"]
+        st.markdown("# Ontology Selection")
+        onthology = st.selectbox(
+            'Select your onthology',
+            tuple(onthologies)
+        )
+        st.session_state.onthology = onthology
+        st.write('You selected:', onthology)
+
+
+pages = {
+    "Datasets": datasets,
+    "Projects": projects,
+    "Labeling": labeling,
+    "Ontologies": ontologies
+}
+
+
+# st.sidebar.title("Navigation")
+# selection1 = st.sidebar.button("Projects")
+# if selection1:
+#     projects()
+# selection2 = st.sidebar.button("Datasets")
+# if selection2:
+#     datasets()
+# selection3 = st.sidebar.button("Labeling")
+# if selection3:
+#     labeling()
+# selection4 = st.sidebar.button("Ontologies")
+# if selection4:
+#     ontologies()
+
+selected_page = st.sidebar.selectbox("Select a page", pages.keys())
+pages[selected_page]()

requirements.txt

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+streamlit
+pandas