File size: 2,492 Bytes
ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b 4c2540e ef14d9b f9649c3 |
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 63 64 65 66 67 |
import gradio as gr
from modules import analysis # Make sure this matches your folder structure
# Create the Gradio interface using Blocks
with gr.Blocks(title="Log Intelligence Assistant") as demo:
gr.Markdown("## 🔍 Interactive Network Log Assistant")
# ---------- Inputs ----------
with gr.Tab("Inputs 🔽"):
with gr.Row():
uploaded_files = gr.File(
file_types=[".pdf", ".log", ".txt"],
file_count="multiple",
label="📁 Upload Log Files"
)
text_input = gr.Textbox(
label="Paste Logs Here",
lines=15,
placeholder="2023-10-05 14:22:11 [Firewall] BLOCKED: 192.168.1.5..."
)
with gr.Row():
query_input = gr.Textbox(
label="Ask About Logs",
placeholder="Find failed login attempts from 192.168.1.5"
)
quick_query = gr.Dropdown(
choices=["", "Detect anomalies", "Show blocked IPs", "Generate summary"],
label="Quick Actions"
)
with gr.Accordion("⚙️ Configuration Controls", open=False):
temperature = gr.Slider(minimum=0.1, maximum=1.0, value=0.7, label="Creativity (Temperature)")
start_time = gr.DateTime(label="Start Time")
end_time = gr.DateTime(label="End Time")
# ---------- Outputs ----------
with gr.Tab("Outputs 🔼"):
analysis_result = gr.Textbox(label="Analysis Results", lines=10, interactive=False)
# Use gr.Plot for matplotlib/plotly compatibility
bar_plot = gr.Plot(label="Event Frequency by Hour")
pie_chart = gr.Plot(label="Event Type Distribution")
alert_feed = gr.HighlightedText(label="Security Alerts", color_map={
"CRITICAL": "red",
"WARNING": "orange",
"INFO": "blue"
})
# ---------- Export ----------
with gr.Tab("Export 📤"):
export_csv = gr.Button("Save as CSV")
export_pdf = gr.Button("Export PDF Report")
# ---------- Action Button ----------
run_button = gr.Button("🔎 Analyze Logs")
# Bind the Analyze button to your backend function
run_button.click(
fn=analysis.run_analysis,
inputs=[uploaded_files, text_input, query_input, quick_query, temperature, start_time, end_time],
outputs=[analysis_result, bar_plot, pie_chart, alert_feed]
)
demo.launch()
|