Update app.py

app.py

@@ -11,6 +11,9 @@
 #tmp_dataset = tmp_dataset.add_item(new_item), but i can’t figure out how to do this while my dataset is streaming=True.
 #Can anyone help me to find solution, please?
 
+import streamlit as st
+
+st.set_page_config(page_icon="📝", page_title="📝AI-EIO-Editor📊", layout="wide")
 
 if st.checkbox('Show Anatomy Table'):
     st.markdown("""
@@ -41,7 +44,126 @@ if st.checkbox('Show Anatomy Table'):
     
     """)
 
-    import streamlit as st
+
+import streamlit as st
+import pandas as pd
+import traceback
+import sys
+
+from st_aggrid import AgGrid
+from st_aggrid.grid_options_builder import GridOptionsBuilder
+from st_aggrid.shared import JsCode
+from download import download_button
+from st_aggrid import GridUpdateMode, DataReturnMode
+
+def parse(file, condition, data=[], ind_append=False):
+    for line in file:
+        st.write(line)
+        data.append(line)
+    return data
+
+def read_csv_any_file(file):
+    dropBlanks=True
+    logResult=True
+    logResultStartSymbol = "["
+    
+    
+    if file is not None:
+        data = []
+        df = pd.DataFrame()
+        for line in file:
+            if line == b' \r\n':
+                if dropBlanks == False:
+                    st.write(line.decode('UTF-8'))
+            else:   
+                if logResult: 
+                    st.write(line.decode('UTF-8'))
+                    data.append(line.decode('UTF-8'))
+        
+        df = pd.DataFrame(data, columns=['InputLines'])
+    return df
+
+# Style
+def _max_width_():
+    max_width_str = f"max-width: 1800px;"
+    st.markdown(
+        f"""
+    <style>
+    .reportview-container .main .block-container{{
+        {max_width_str}
+    }}
+    </style>    
+    """,
+        unsafe_allow_html=True,
+    )
+    
+# Title Bar with Images and Icons
+col1, col2, col3 = st.columns([1,6,1])
+with col1:
+    st.image("https://cdnb.artstation.com/p/assets/images/images/054/910/875/large/aaron-wacker-cyberpunk-computer-brain-design.jpg?1665656558",width=64,)
+with col2:
+    st.title("📝Double Line AI Editor📊")
+with col3:
+    st.image("https://cdna.artstation.com/p/assets/images/images/054/910/878/large/aaron-wacker-cyberpunk-computer-devices-iot.jpg?1665656564",width=64,)
+    
+# Upload
+c29, c30, c31 = st.columns([1, 6, 1])
+with c30:
+    uploaded_file = st.file_uploader("", key="1", help="To activate 'wide mode', go to the menu > Settings > turn on 'wide mode'",)
+    if uploaded_file is not None:
+        file_container = st.expander("Check your uploaded .csv")
+        #try:
+        shows = read_csv_any_file(uploaded_file)
+        #shows = pd.read_csv(uploaded_file)
+        #except:
+        #    print(sys.exc_info()[2])
+            
+        uploaded_file.seek(0)
+        file_container.write(shows)
+    else:
+        st.info(f"""⬆️Upload a 📝.CSV file.  Examples: [Chatbot](https://huggingface.co/datasets/awacke1/Carddata.csv)  [Mindfulness](https://huggingface.co/datasets/awacke1/MindfulStory.csv)  [Wikipedia](https://huggingface.co/datasets/awacke1/WikipediaSearch)""")
+        st.stop()
+
+# DisplayGrid
+#gb = GridOptionsBuilder.from_dataframe(shows)
+
+#z = [[" ".join(i.split()[:2]),str(i.split()[2])] for i in shows]
+#df = pd.DataFrame(z,columns=['Str','Str2'])
+
+gb = GridOptionsBuilder.from_dataframe(shows)
+
+gb.configure_default_column(enablePivot=True, enableValue=True, enableRowGroup=True)
+gb.configure_selection(selection_mode="multiple", use_checkbox=True)
+gb.configure_side_bar()
+gridOptions = gb.build()
+st.success(f"""💡 Tip! Hold shift key when selecting rows to select multiple rows at once.""")
+response = AgGrid(
+    shows,
+    gridOptions=gridOptions,
+    enable_enterprise_modules=True,
+    update_mode=GridUpdateMode.MODEL_CHANGED,
+    data_return_mode=DataReturnMode.FILTERED_AND_SORTED,
+    fit_columns_on_grid_load=False,
+)
+
+# Filters
+df = pd.DataFrame(response["selected_rows"])
+st.subheader("Filtered data will appear below 📊 ")
+st.text("")
+st.table(df)
+st.text("")
+
+# Download
+c29, c30, c31 = st.columns([1, 1, 2])
+with c29:
+    CSVButton = download_button(df,"Dataset.csv","Download CSV file",)
+with c30:
+    CSVButton = download_button(df,"Dataset.txt","Download TXT file",)
+
+
+#-----------------------------------------------------------------------
+    
+import streamlit as st
 import pandas as pd
 
 # Load dataset