update

Home.py

@@ -1,93 +0,0 @@
-import streamlit as st
-import pandas as pd
-from langchain.agents import create_csv_agent
-from langchain.llms import OpenAI
-import time
-# Set Streamlit page configuration
-st.set_page_config(page_title='CSV Processing', 
-                   page_icon=":memo:", 
-                   layout='wide', 
-                   initial_sidebar_state='collapsed')
-
-# Set CSS properties for HTML components
-st.markdown("""
-<style>
-body {
-    color: #fff;
-    background-color: #4f8bf9;
-}
-h1, h2 {
-    color: #ffdd00;
-}
-</style>
-    """, unsafe_allow_html=True)
-
-hide_style='''
-    <style>
-    #MainMenu {visibility:hidden;}
-    footer {visibility:hidden;}
-    .css-hi6a2p {padding-top: 0rem;}
-    head {visibility:hidden;}
-    </style>
-'''
-st.markdown("""
-<h1 style='text-align: center; color: #ffdd00;'>XLS Office Documents Analysis with ChatGPT4 NLP Model</h1>
-    """, unsafe_allow_html=True)
-#st.title('XLS Office Documents Analysis with ChatGPT4 NLP Model')
-
-def load_data(file):
-    df = pd.read_excel(file, engine='openpyxl')
-    df.to_csv('data.csv', index=False)  # Convert XLS to CSV
-    return 'data.csv'
-
-def initialize_agent(file, openai_api_key):
-    agent = create_csv_agent(OpenAI(temperature=0, openai_api_key=openai_api_key), file, verbose=True)
-    return agent
-
-uploaded_file = st.file_uploader("Upload XLS", type=['xlsx'])
-st.markdown(hide_style, unsafe_allow_html=True)
-
-openai_api_key = st.sidebar.text_input('OpenAI API Key', type="password")
-
-# Pre-defined question examples
-question_examples = [
-    "how many rows are there?",
-    "how many people are female?",
-    "how many people have stayed more than 3 years in the city?",
-    "how many people have stayed more than 3 years in the city and are female?",
-    "Are there more males or females?",
-    "What are the column names?",
-    "What is the average age?",
-    "Which country appears the most and how many times does it appear?",
-    "What is the ratio of males to females?"
-    # Add more examples as needed
-]
-
-# Dropdown select box for question examples
-selected_example = st.selectbox('Choose a question example:', question_examples)
-
-# Pre-populate the question field with the selected example
-question = st.text_input('Enter your question:', value=selected_example)
-
-if not openai_api_key or not openai_api_key.startswith('sk-'):
-    st.warning('Please enter your OpenAI API key!', icon='⚠️')
-else:
-    if uploaded_file is not None:
-        # Create a progress bar
-        #progress_bar = st.progress(0)
-        #progress_bar.progress(25)  # Start the progress at 25%
-        
-        csv_file = load_data(uploaded_file)  # Now the uploaded file is an XLS file
-        #progress_bar.progress(50)  # Update the progress to 50%
-        
-        agent = initialize_agent(csv_file, openai_api_key)
-        #progress_bar.progress(100)  # Complete the progress bar
-        
-        if question:
-            response = agent.run(question)
-            with st.spinner('Wait for it...'):
-                time.sleep(5)
-            st.success('Done!')
-            #st.markdown(f'**Response:** {response}')
-            st.markdown(f'<div style="color: red; font-size: 24px; text-align: center;">The Answer is:{response}</div>',unsafe_allow_html=True)
-

app.py

@@ -0,0 +1,176 @@
+import streamlit as st
+import pandas as pd
+from langchain.agents import create_csv_agent
+from langchain.llms import OpenAI
+import time
+from streamlit_option_menu import option_menu
+
+# Set Streamlit page configuration
+st.set_page_config(page_title='CSV Processing', 
+                   page_icon=":memo:", 
+                   layout='wide', 
+                   initial_sidebar_state='collapsed')
+
+# Set CSS properties for HTML components
+st.markdown("""
+<style>
+body {
+    color: #fff;
+    background-color: #4f8bf9;
+}
+h1, h2 {
+    color: #ffdd00;
+}
+</style>
+    """, unsafe_allow_html=True)
+
+hide_style='''
+    <style>
+    #MainMenu {visibility:hidden;}
+    footer {visibility:hidden;}
+    .css-hi6a2p {padding-top: 0rem;}
+    head {visibility:hidden;}
+    </style>
+'''
+st.markdown("""
+<h1 style='text-align: center; color: #ffdd00;'>XLS Office Documents Analysis with ChatGPT4 NLP Model</h1>
+    """, unsafe_allow_html=True)
+#st.title('XLS Office Documents Analysis with ChatGPT4 NLP Model')
+# 1. as sidebar menu
+with st.sidebar:
+    selected = option_menu("Main Menu", ["Home", 'Help'], 
+        icons=['house', 'gear'], menu_icon="cast", default_index=0)
+    selected
+
+if selected=="Help":
+   # st.title("Help")
+    # Import required libraries
+    import streamlit as st
+
+    # Set Streamlit page configuration
+    #st.set_page_config(page_title='Help - XLS Office Documents Analysis with ChatGPT4 NLP Model', 
+                      # page_icon=":memo:", 
+                      # layout='wide', 
+                      # initial_sidebar_state='collapsed')
+
+    # Set CSS properties for HTML components
+    st.markdown("""
+    <style>
+    body {
+        color: #fff;
+        background-color: #4f8bf9;
+    }
+    h1, h2 {
+        color: #ffdd00;
+    }
+    </style>
+        """, unsafe_allow_html=True)
+
+    # Use HTML in markdown to center align the title
+   # st.markdown("""
+   # <h1 style='text-align: center; color: #ffdd00;'>Help Document for XLS Office Documents Analysis with ChatGPT4 NLP Model</h1>
+      #  """, unsafe_allow_html=True)
+
+    # Display authorship details
+    st.markdown("""
+    ## Developed by Falah.G.Salieh
+    * AI Developer
+    * Specialized in Natural Language Processing
+    """, unsafe_allow_html=True)
+
+    # Display help content
+    st.markdown("""
+    ## Getting Started
+
+    This project aims to ...
+
+    Here's how to use this app:
+
+    1. Step 1: ...
+    2. Step 2: ...
+    3. Step 3: ...
+
+    Please note that ...
+
+    ### Uploading Your XLS File
+
+    To upload your XLS file, ...
+
+    ### Using the ChatGPT-4 NLP Model
+
+    To use the ChatGPT-4 NLP model, ...
+
+    ### Understanding the Results
+
+    When you receive the results, ...
+
+    ### Troubleshooting
+
+    If you encounter any problems, ...
+
+    ## Contact
+
+    If you have any questions, feel free to ...
+    """, unsafe_allow_html=True)
+
+
+#-----------------
+if selected=="Home":
+    #st.title("home")
+
+    def load_data(file):
+        df = pd.read_excel(file, engine='openpyxl')
+        df.to_csv('data.csv', index=False)  # Convert XLS to CSV
+        return 'data.csv'
+
+    def initialize_agent(file, openai_api_key):
+        agent = create_csv_agent(OpenAI(temperature=0, openai_api_key=openai_api_key), file, verbose=True)
+        return agent
+
+    uploaded_file = st.file_uploader("Upload XLS", type=['xlsx'])
+    st.markdown(hide_style, unsafe_allow_html=True)
+
+    openai_api_key = st.sidebar.text_input('OpenAI API Key', type="password")
+
+    # Pre-defined question examples
+    question_examples = [
+        "how many rows are there?",
+        "how many people are female?",
+        "how many people have stayed more than 3 years in the city?",
+        "how many people have stayed more than 3 years in the city and are female?",
+        "Are there more males or females?",
+        "What are the column names?",
+        "What is the average age?",
+        "Which country appears the most and how many times does it appear?",
+        "What is the ratio of males to females?"
+        # Add more examples as needed
+    ]
+
+    # Dropdown select box for question examples
+    selected_example = st.selectbox('Choose a question example:', question_examples)
+
+    # Pre-populate the question field with the selected example
+    question = st.text_input('Enter your question:', value=selected_example)
+
+    if not openai_api_key or not openai_api_key.startswith('sk-'):
+        st.warning('Please enter your OpenAI API key!', icon='⚠️')
+    else:
+        if uploaded_file is not None:
+            # Create a progress bar
+            #progress_bar = st.progress(0)
+            #progress_bar.progress(25)  # Start the progress at 25%
+            
+            csv_file = load_data(uploaded_file)  # Now the uploaded file is an XLS file
+            #progress_bar.progress(50)  # Update the progress to 50%
+            
+            agent = initialize_agent(csv_file, openai_api_key)
+            #progress_bar.progress(100)  # Complete the progress bar
+            
+            if question:
+                response = agent.run(question)
+                with st.spinner('Wait for it...'):
+                    time.sleep(5)
+                st.success('Done!')
+                #st.markdown(f'**Response:** {response}')
+                st.markdown(f'<div style="color: red; font-size: 24px; text-align: center;">The Answer is:{response}</div>',unsafe_allow_html=True)
+

pages/Help.py

@@ -1,68 +0,0 @@
-# Import required libraries
-import streamlit as st
-
-# Set Streamlit page configuration
-st.set_page_config(page_title='Help - XLS Office Documents Analysis with ChatGPT4 NLP Model', 
-                   page_icon=":memo:", 
-                   layout='wide', 
-                   initial_sidebar_state='collapsed')
-
-# Set CSS properties for HTML components
-st.markdown("""
-<style>
-body {
-    color: #fff;
-    background-color: #4f8bf9;
-}
-h1, h2 {
-    color: #ffdd00;
-}
-</style>
-    """, unsafe_allow_html=True)
-
-# Use HTML in markdown to center align the title
-st.markdown("""
-<h1 style='text-align: center; color: #ffdd00;'>Help Document for XLS Office Documents Analysis with ChatGPT4 NLP Model</h1>
-    """, unsafe_allow_html=True)
-
-# Display authorship details
-st.markdown("""
-## Developed by Falah.G.Salieh
-* AI Developer
-* Specialized in Natural Language Processing
-""", unsafe_allow_html=True)
-
-# Display help content
-st.markdown("""
-## Getting Started
-
-This project aims to ...
-
-Here's how to use this app:
-
-1. Step 1: ...
-2. Step 2: ...
-3. Step 3: ...
-
-Please note that ...
-
-### Uploading Your XLS File
-
-To upload your XLS file, ...
-
-### Using the ChatGPT-4 NLP Model
-
-To use the ChatGPT-4 NLP model, ...
-
-### Understanding the Results
-
-When you receive the results, ...
-
-### Troubleshooting
-
-If you encounter any problems, ...
-
-## Contact
-
-If you have any questions, feel free to ...
-""", unsafe_allow_html=True)