Upload app.py

app.py

@@ -0,0 +1,126 @@
+import streamlit as st
+import pandas as pd
+import requests
+import os
+
+def main():
+
+    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"])
+        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
+    
+                # 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'
+                input_data=df  
+            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")
+            
+           # 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)
+
+    # 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
+        df[website_column] = df[website_column].astype(str)
+        df=df[[website_column,company_column]]
+        df.columns = ["Website","Company Name for Emails"]
+    
+        # 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}
+    
+        # Sending the POST request to FastAPI
+        response = requests.post("https://ppxt7uqbmw.us-east-2.awsapprunner.com/receive_data/", 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 __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)
+    
+    
+    
+    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()
+