callAnalysisDashboard/main.py at main · arthurMedforth/callAnalysisDashboard · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
import streamlit as st
import os
from src.call_data_analyzer import CallDataAnalyzer
from ui.dashboard import render_dashboard

def main():
    st.set_page_config(
        page_title="Hiya Spam Protection Dashboard",
        page_icon="🛡️",
        layout="wide",
        initial_sidebar_state="expanded"
    )

    # File upload section
    st.sidebar.header("📁 Data Input")
    uploaded_file = st.sidebar.file_uploader(
        "Upload your Excel file",
        type=['xlsx', 'xls'],
        help="Upload an Excel file containing call data",
        key='uploaded_file'
    )

    if uploaded_file is not None:
        with st.spinner('Processing file...'):
            try:
                # Clear any cached data
                st.cache_data.clear()

                # Create new analyzer instance
                analyzer = CallDataAnalyzer(uploaded_file)

                # Show success message immediately after file input
                st.sidebar.markdown("---")
                st.sidebar.success('✅ File processed successfully!')

                # Render the dashboard
                render_dashboard(analyzer)

            except Exception as e:
                st.error(f"Error processing file: {str(e)}")
                st.info("""
                    Please ensure your Excel file contains the required columns:
                    - date (datetime)
                    - calling phone number (string/integer)
                    - flagged (categorical: neutral, spam, fraud)
                """)
    else:
        # Show welcome message
        st.markdown("""
        # 👋 Welcome to Hiya Spam Protection Dashboard

        Please upload your Excel file using the sidebar to get started.

        ### Required Data Format:
        Your Excel file should contain these columns:
        - `date`: Date of the call
        - `calling phone number`: Phone number of caller
        - `flagged`: Call classification (neutral/spam/fraud)
        """)

if __name__ == "__main__":
    main()