Create app.py

app.py

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+import pandas as pd
+import streamlit.components.v1 as components
+import streamlit as st
+from ydata_profiling import ProfileReport
+from streamlit_pandas_profiling import st_profile_report
+from langchain.llms.openai import OpenAI
+from langchain_experimental.agents import create_csv_agent
+from langchain.agents.agent_types import AgentType
+import time
+import os
+from mitosheet.streamlit.v1 import spreadsheet
+from pygwalker.api.streamlit import init_streamlit_comm, get_streamlit_html
+
+st.set_page_config(
+    page_title="AI TOOL",
+    layout="wide"
+)
+
+def main():
+    st.sidebar.title("App Options")
+    option = st.sidebar.selectbox("Choose an option", ["View Instructions", "View Data","Data Profiling","Tableau AI", "CSV Chatbot"])
+
+    if option == "View Instructions":
+        show_instructions()
+    elif option == "Data Profiling":
+        uploaded_file = st.file_uploader("Upload CSV file", type=["csv"])
+        if uploaded_file is None:
+            st.warning("Please upload a CSV file.")
+            st.stop()  # Stop execution if no file uploaded
+        else:
+            data_profiling(uploaded_file)
+    elif option == "CSV Chatbot":
+        openai_api_key = st.text_input("Enter your OpenAI API Key", type="password")
+        if not openai_api_key:
+            st.warning("You should have an OpenAI API key to continue. Get one at [OpenAI API Keys](https://platform.openai.com/api-keys)")
+            st.stop()
+        os.environ['OPENAI_API_KEY'] = openai_api_key
+        personal_assistant()
+    elif option == "View Data":
+        virtual_excel_sheet()
+    elif option == "Tableau AI":
+        tableau_ai()
+
+def show_instructions():
+    st.title("Welcome to the AI TOOL!")
+    st.write("This tool offers several functionalities to help you analyze and work with your data.")
+    st.write("Please select an option from the sidebar to proceed:")
+    st.write("- **View Data:** Upload a CSV file and view its contents.")
+    st.write("- **Data Profiling:** Upload a CSV file to generate a data profiling report.")
+    st.write("- **CSV Chatbot:** Interact with a chatbot to get insights from your CSV data.")
+    st.write("- **Tableau AI:** Upload a CSV file to visualize it using Tableau AI.")
+    st.write("- **View Instructions:** View these instructions again.")
+
+def data_profiling(uploaded_file):
+    st.title("Data Profiling App")
+
+    # Load the data
+    df = pd.read_csv(uploaded_file)
+
+    # Display the dataframe
+    st.dataframe(df)
+
+    # Generate and display the data profile report
+    pr = ProfileReport(df, title="Report")
+    st_profile_report(pr)
+
+# Define other functions (personal_assistant, virtual_excel_sheet, tableau_ai) as before...
+
+if __name__ == "__main__":
+    main()