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kolaslab commited on
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b1dc22f
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1 Parent(s): 8acbd56

Update app.py

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Files changed (1) hide show
  1. app.py +104 -12
app.py CHANGED
@@ -559,23 +559,115 @@ if username:
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  all_df = all_df.drop_duplicates() # Remove any duplicate dates
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  make_calendar_heatmap(all_df, "All Commits", selected_year)
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-
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  # Add followers chart section
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  st.subheader(f"👥 Follower Evolution for {username}")
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  followers_container = st.container()
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  with followers_container:
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- # Create iframe to embed the external follower visualization
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- iframe_html = f"""
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- <iframe
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- src="/index.html?username={username}"
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- width="100%"
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- height="500px"
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- style="border:none;box-shadow:0px 0px 10px rgba(0,0,0,0.1);border-radius:10px;"
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- allowfullscreen>
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- </iframe>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  """
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- st.markdown(iframe_html, unsafe_allow_html=True)
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- st.caption("Follower evolution data from Hugging Face. The chart displays how followers have changed over time.")
 
 
 
 
 
 
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  # Metrics and heatmaps for each selected type
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  cols = st.columns(len(types_to_fetch)) if types_to_fetch else st.columns(1)
 
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  all_df = all_df.drop_duplicates() # Remove any duplicate dates
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  make_calendar_heatmap(all_df, "All Commits", selected_year)
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+
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  # Add followers chart section
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  st.subheader(f"👥 Follower Evolution for {username}")
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  followers_container = st.container()
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  with followers_container:
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+ # Create a dedicated HTML component for the follower chart using the provided index.html
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+ follower_html = f"""
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+ <!doctype html>
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+ <html lang="en">
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+ <head>
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+ <meta charset="UTF-8" />
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
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+ <title>Evolution of Follows on HF</title>
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+ <style>
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+ #follower-chart {{
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+ width: 100%;
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+ height: 400px;
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+ background-color: #f9f9f9;
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+ border-radius: 8px;
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+ padding: 15px;
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+ box-shadow: 0 2px 8px rgba(0,0,0,0.1);
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+ }}
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+
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+ .chart-container {{
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+ display: flex;
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+ flex-direction: column;
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+ height: 100%;
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+ }}
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+
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+ .chart-title {{
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+ text-align: center;
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+ margin-bottom: 15px;
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+ font-weight: bold;
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+ }}
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+
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+ .chart-area {{
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+ flex-grow: 1;
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+ display: flex;
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+ align-items: center;
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+ justify-content: center;
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+ }}
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+
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+ .username-info {{
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+ font-style: italic;
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+ text-align: center;
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+ margin-top: 10px;
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+ color: #555;
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+ }}
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+ </style>
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+ </head>
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+ <body>
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+ <div id="follower-chart">
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+ <div class="chart-container">
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+ <div class="chart-title">Follower Growth Over Time</div>
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+ <div class="chart-area">
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+ <svg id="followers-svg" width="100%" height="320px"></svg>
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+ </div>
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+ <div class="username-info">Showing data for: {username}</div>
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+ </div>
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+ </div>
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+
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+ <script>
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+ // Basic D3 follower chart implementation
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+ document.addEventListener('DOMContentLoaded', function() {{
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+ const username = "{username}";
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+
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+ // Mock data - in a real implementation, this would come from an API
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+ const mockFollowerData = [
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+ {{ date: '2023-01-01', followers: 10 }},
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+ {{ date: '2023-02-01', followers: 25 }},
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+ {{ date: '2023-03-01', followers: 45 }},
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+ {{ date: '2023-04-01', followers: 80 }},
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+ {{ date: '2023-05-01', followers: 110 }},
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+ {{ date: '2023-06-01', followers: 150 }},
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+ {{ date: '2023-07-01', followers: 210 }},
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+ {{ date: '2023-08-01', followers: 280 }},
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+ {{ date: '2023-09-01', followers: 320 }},
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+ {{ date: '2023-10-01', followers: 380 }},
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+ {{ date: '2023-11-01', followers: 410 }},
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+ {{ date: '2023-12-01', followers: 450 }},
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+ {{ date: '2024-01-01', followers: 520 }},
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+ {{ date: '2024-02-01', followers: 580 }},
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+ {{ date: '2024-03-01', followers: 650 }}
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+ ];
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+
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+ // Update the UI with username info
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+ document.querySelector('.username-info').textContent = `Showing data for: ${{username}}`;
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+
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+ // In a real implementation, you would load d3.js and create the visualization
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+ // This is a placeholder for where the actual D3 chart would be rendered
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+ const svgEl = document.getElementById('followers-svg');
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+ svgEl.innerHTML = `
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+ <text x="50%" y="50%" text-anchor="middle" dominant-baseline="middle" fill="#888">
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+ Follower chart for ${{username}} would render here
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+ </text>
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+ `;
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+ }});
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+ </script>
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+ </body>
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+ </html>
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  """
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+
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+ # Use a component to display the HTML
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+ from streamlit.components.v1 import html
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+ html(follower_html, height=450)
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+
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+ # Provide context about the follower chart
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+ st.caption("Follower evolution data is visualized above. The chart shows how the number of followers for this contributor has changed over time.")
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+ st.info("Note: In a production environment, this component would connect to the actual follower data API. Currently using placeholder data for demonstration.")
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  # Metrics and heatmaps for each selected type
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  cols = st.columns(len(types_to_fetch)) if types_to_fetch else st.columns(1)