Update app.py

app.py

@@ -1,153 +1,153 @@
-# import streamlit as st
-# st.write("weekend break ")
 import streamlit as st
-import pandas as pd
-import requests
-import os
+st.write("Maintenance notice to release the new version that support business hubs")
+# import streamlit as st
+# import pandas as pd
+# import requests
+# import os
 
-def main():
+# def main():
 
-    BackendService=os.getenv("backend") 
-    input_data=None    
-    submitted=None
-    # Wrap everything inside a form
-    with st.sidebar:
+#     BackendService=os.getenv("backend") 
+#     input_data=None    
+#     submitted=None
+#     # Wrap everything inside a form
+#     with st.sidebar:
        
-        uploaded_file = st.file_uploader("Kindly upload a CSV file that includes the names and websites of the companies", type=["csv"])
-        opt_out_scraping = st.checkbox("Opt out of scraping")
-        if uploaded_file is not None:
-            try:
-                # Detect file type and read accordingly
-                file_type = uploaded_file.name.split('.')[-1]
-                if file_type == 'csv':
-                    df = pd.read_csv(uploaded_file)
-                elif file_type == 'xlsx':
-                    df = pd.read_excel(uploaded_file)
+#         uploaded_file = st.file_uploader("Kindly upload a CSV file that includes the names and websites of the companies", type=["csv"])
+#         opt_out_scraping = st.checkbox("Opt out of scraping")
+#         if uploaded_file is not None:
+#             try:
+#                 # Detect file type and read accordingly
+#                 file_type = uploaded_file.name.split('.')[-1]
+#                 if file_type == 'csv':
+#                     df = pd.read_csv(uploaded_file)
+#                 elif file_type == 'xlsx':
+#                     df = pd.read_excel(uploaded_file)
     
-               # Limiting the dataframe for processing
+#                # Limiting the dataframe for processing
     
-                # Check if 'Website' column exists
-                if 'Website' not in df.columns:
-                    all_columns = df.columns.tolist()
-                    website_column  = st.selectbox("Select the column for Website:", all_columns)
-                else:
-                    website_column  = 'Website'
+#                 # Check if 'Website' column exists
+#                 if 'Website' not in df.columns:
+#                     all_columns = df.columns.tolist()
+#                     website_column  = st.selectbox("Select the column for Website:", all_columns)
+#                 else:
+#                     website_column  = 'Website'
                     
                     
-                    # Check if 'Company Name for Emails' column exists
-                if 'Company Name for Emails' not in df.columns:
-                    all_columns = df.columns.tolist()
-                    company_column= st.selectbox("Select the column for Company Name for Emails:", all_columns)
-                else:
-                    company_column = 'Company Name for Emails'
+#                     # Check if 'Company Name for Emails' column exists
+#                 if 'Company Name for Emails' not in df.columns:
+#                     all_columns = df.columns.tolist()
+#                     company_column= st.selectbox("Select the column for Company Name for Emails:", all_columns)
+#                 else:
+#                     company_column = 'Company Name for Emails'
                     
-                if opt_out_scraping:
-                    if 'Description' not in df.columns:
-                        all_columns = df.columns.tolist()
-                        description_column = st.selectbox("Select the column for Description:", all_columns)
-                        df.rename(columns={description_column: 'scraped_content'}, inplace=True)
-                    else:
-                        df.rename(columns={'Description': 'scraped_content'}, inplace=True)     
+#                 if opt_out_scraping:
+#                     if 'Description' not in df.columns:
+#                         all_columns = df.columns.tolist()
+#                         description_column = st.selectbox("Select the column for Description:", all_columns)
+#                         df.rename(columns={description_column: 'scraped_content'}, inplace=True)
+#                     else:
+#                         df.rename(columns={'Description': 'scraped_content'}, inplace=True)     
                     
-                input_data=df  
+#                 input_data=df  
                 
-            except Exception as E :
-                st.error("An error occured while processing the file")
+#             except Exception as E :
+#                 st.error("An error occured while processing the file")
        
-        with st.form(key='my_form'):
-            # Fetch the filtered data
-            prompt_notes= st.text_input("If applicable please mention the network name")
+#         with st.form(key='my_form'):
+#             # Fetch the filtered data
+#             prompt_notes= st.text_input("If applicable please mention the network name")
             
-           # List of predefined email addresses
-            email_options = [
-                "[email protected]",
-                "[email protected]",
-                "[email protected]",
-                "[email protected]",
-                "[email protected]",
-                "[email protected]",
-                "[email protected]"
-            ]
+#            # List of predefined email addresses
+#             email_options = [
+#                 "[email protected]",
+#                 "[email protected]",
+#                 "[email protected]",
+#                 "[email protected]",
+#                 "[email protected]",
+#                 "[email protected]",
+#                 "[email protected]"
+#             ]
             
-            # Streamlit select box for choosing an email
-            email_receiver = st.selectbox("Please select an email address", email_options)
+#             # Streamlit select box for choosing an email
+#             email_receiver = st.selectbox("Please select an email address", email_options)
             
 
-    # If the button is clicked, it will return True for this run
-            button_clicked = st.form_submit_button("Submit")
+#     # If the button is clicked, it will return True for this run
+#             button_clicked = st.form_submit_button("Submit")
             
-            # 2. Update session state for the button
-            if button_clicked:
-                submitted = True
-                # Set the session state to the new value
-                prompt_notes = prompt_notes 
-# 3. Use the session state variable to determine if the button was previously clicked
-    if submitted and input_data is not None:
-        df = input_data
-        if not opt_out_scraping:
-            df[website_column] = df[website_column].astype(str)
-            df=df[[website_column,company_column]]
-            df.columns = ["Website","Company Name for Emails"]
-            df = df.drop_duplicates(subset="Website", keep='first')
-            df = df.dropna().loc[~(df == '').all(axis=1)]
-        else:
-            df[website_column] = df[website_column].astype(str)
-            df=df[[website_column,company_column,"scraped_content"]]
-            df.columns = ["Website","Company Name for Emails","scraped_content"]
-            df = df.drop_duplicates(subset="Website", keep='first')
-            df = df.dropna().loc[~(df == '').all(axis=1)]
+#             # 2. Update session state for the button
+#             if button_clicked:
+#                 submitted = True
+#                 # Set the session state to the new value
+#                 prompt_notes = prompt_notes 
+# # 3. Use the session state variable to determine if the button was previously clicked
+#     if submitted and input_data is not None:
+#         df = input_data
+#         if not opt_out_scraping:
+#             df[website_column] = df[website_column].astype(str)
+#             df=df[[website_column,company_column]]
+#             df.columns = ["Website","Company Name for Emails"]
+#             df = df.drop_duplicates(subset="Website", keep='first')
+#             df = df.dropna().loc[~(df == '').all(axis=1)]
+#         else:
+#             df[website_column] = df[website_column].astype(str)
+#             df=df[[website_column,company_column,"scraped_content"]]
+#             df.columns = ["Website","Company Name for Emails","scraped_content"]
+#             df = df.drop_duplicates(subset="Website", keep='first')
+#             df = df.dropna().loc[~(df == '').all(axis=1)]
             
             
-        st.write(df)
-        # Convert DataFrame to CSV for transmission
-        csv = df.to_csv(index=False)
+#         st.write(df)
+#         # Convert DataFrame to CSV for transmission
+#         csv = df.to_csv(index=False)
     
-        # Construct the data to send
-        data_to_send = {"prompt_notes": prompt_notes, "dataframe": csv,"email_receiver":email_receiver}
+#         # Construct the data to send
+#         data_to_send = {"prompt_notes": prompt_notes, "dataframe": csv,"email_receiver":email_receiver}
     
-        # Sending the POST request to FastAPI
-        response = requests.post(BackendService, json=data_to_send)
+#         # Sending the POST request to FastAPI
+#         response = requests.post(BackendService, json=data_to_send)
     
-        if response.status_code == 200:
-            st.info(f"We're processing your request. You can close the app now. An email will be sent to {email_receiver} once the process is finished.")
-        else:
-            st.error("Data transmission failed. Please verify that your file contains the labels 'Company Website' and 'Company Name'. Additionally, ensure that your file is valid and contains records and try again , if the problem persists please contact us at [email protected]")
+#         if response.status_code == 200:
+#             st.info(f"We're processing your request. You can close the app now. An email will be sent to {email_receiver} once the process is finished.")
+#         else:
+#             st.error("Data transmission failed. Please verify that your file contains the labels 'Company Website' and 'Company Name'. Additionally, ensure that your file is valid and contains records and try again , if the problem persists please contact us at [email protected]")
             
 
-if __name__ == "__main__":
-    st.markdown(
-    """
-    <style>
-    .higher-title {
-        font-size:35px !important;
-        color: #4A90E2;  /* Shade of blue */
-        text-align: center;
-        font-weight: bold;
-        margin-top: -20px;  /* Adjust this value to control the height */
-    }
-    </style>
-    """, 
-    unsafe_allow_html=True,
-)
+# if __name__ == "__main__":
+#     st.markdown(
+#     """
+#     <style>
+#     .higher-title {
+#         font-size:35px !important;
+#         color: #4A90E2;  /* Shade of blue */
+#         text-align: center;
+#         font-weight: bold;
+#         margin-top: -20px;  /* Adjust this value to control the height */
+#     }
+#     </style>
+#     """, 
+#     unsafe_allow_html=True,
+# )
 
-    st.markdown('<p class="higher-title">SalesIntel AI</p>', unsafe_allow_html=True)
+#     st.markdown('<p class="higher-title">SalesIntel AI</p>', unsafe_allow_html=True)
     
     
     
-    logo_url = "https://i.imgur.com/WYnv26e.jpeg"  # Replace this with your image's direct URL
-    st.markdown(
-        f"""
-        <style>
-        .logo {{
-            position: fixed;
-            bottom: 5px;
-            right: 5px;
-            width: 100px;  # Adjust width as needed
-        }}
-        </style>
-        <img src="{logo_url}" class="logo">
-        """,
-        unsafe_allow_html=True,
-    )
-    main()
+#     logo_url = "https://i.imgur.com/WYnv26e.jpeg"  # Replace this with your image's direct URL
+#     st.markdown(
+#         f"""
+#         <style>
+#         .logo {{
+#             position: fixed;
+#             bottom: 5px;
+#             right: 5px;
+#             width: 100px;  # Adjust width as needed
+#         }}
+#         </style>
+#         <img src="{logo_url}" class="logo">
+#         """,
+#         unsafe_allow_html=True,
+#     )
+#     main()