app.py

# Import Gradio for UI and your backend analysis module
import gradio as gr
from modules import analysis  # assumes parser.py, vectorizer.py, analysis.py are in a "modules" folder

# Define the Gradio app using Blocks layout for full customization
with gr.Blocks(title="Log Intelligence Assistant") as demo:
    
    # Header title
    gr.Markdown("## 🔍 Interactive Network Log Assistant")

    # -------- INPUTS TAB --------
    with gr.Tab("Inputs 🔽"):
        # File upload and raw text input
        with gr.Row():
            uploaded_files = gr.File(
                file_types=[".pdf", ".log", ".txt"],
                file_count="multiple",  # allow multiple file uploads
                label="📁 Upload Log Files"
            )

            text_input = gr.Textbox(
                label="Paste Logs Here",
                lines=15,  # height of textbox
                placeholder="2023-10-05 14:22:11 [Firewall] BLOCKED: 192.168.1.5..."
            )

        # Natural language query and quick predefined actions
        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"
            )

        # Optional model and filter configurations
        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 TAB --------
    with gr.Tab("Outputs 🔼"):
        # Text output for log analysis result
        analys