Create app.py

app.py

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+import os
+import pandas as pd
+import streamlit as st
+
+# Function to list files with .csv and .txt extensions in the current directory
+def list_files():
+    icon_csv = "📄 "
+    icon_txt = "📑 "
+    
+    current_directory = os.getcwd()
+    file_list = []
+    for filename in os.listdir(current_directory):
+        if filename.endswith(".csv"):
+            file_list.append(icon_csv + filename)
+        elif filename.endswith(".txt"):
+            file_list.append(icon_txt + filename)
+    return file_list
+
+# Function to read a file
+def read_file(file_path):
+    try:
+        df = pd.read_csv(file_path)
+        return df
+    except FileNotFoundError:
+        return "File not found."
+
+# Function to delete a file
+def delete_file(file_path):
+    try:
+        os.remove(file_path)
+        return f"{file_path} has been deleted."
+    except FileNotFoundError:
+        return "File not found."
+
+# Function to write to a file
+def write_file(file_path, data):
+    try:
+        data.to_csv(file_path, index=False)
+        return f"Successfully written to {file_path}."
+    except:
+        return "Error occurred while writing to file."
+
+# Streamlit app
+st.title("Question Set Import/Export Editor Downloader")
+
+# File list
+st.header("Files")
+files = list_files()
+for file in files:
+    st.write(file)
+
+# File input and output
+st.header("Edit Data")
+file_path = st.text_input("Filename")
+data = read_file(file_path)
+
+if isinstance(data, pd.DataFrame):
+    st.dataframe(data)
+    st.write(f"Loaded {file_path}")
+
+# Data editor
+st.header("Edit Fields")
+fields = ["ID", "Title", "Context", "Question", "AnswerText", "AnswerStart"]
+new_data = {field: st.text_input(field) for field in fields}
+
+# Add, delete, or save data
+st.header("Actions")
+add_data = st.button("Add Data")
+delete_data = st.button("Delete Data")
+save_data = st.button("Save Data")
+
+if add_data:
+    data = data.append(new_data, ignore_index=True)
+    st.success("Data added.")
+
+if delete_data:
+    data = data[data["ID"] != new_data["ID"]]
+    st.success("Data deleted.")
+
+if save_data:
+    save_file(file_path, data)
+    st.success("Data saved.")