Update app.py

app.py

@@ -1,52 +1,59 @@
-# 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
+import gradio as gr
+from modules import analysis  # Correct import
+
+# Create the Gradio Blocks UI
+with gr.Blocks(title="Log Intelligence Assistant") as demo:
+    gr.Markdown("## 🔍 Interactive Network Log Assistant")
+
+    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")
+
+    with gr.Tab("Outputs 🔼"):
+        analysis_result = gr.Textbox(label="Analysis Results", lines=10, interactive=False)
+        bar_plot = gr.BarPlot(label="Event Frequency by Hour", x="Hour", y="Count", interactive=False)
+        pie_chart = gr.PieChart(label="Event Type Distribution", interactive=False)
+        alert_feed = gr.HighlightedText(label="Security Alerts", color_map={
+            "CRITICAL": "red",
+            "WARNING": "orange",
+            "INFO": "blue"
+        })
+
+    with gr.Tab("Export 📤"):
+        export_csv = gr.Button("Save as CSV")
+        export_pdf = gr.Button("Export PDF Report")
+
+    run_button = gr.Button("🔎 Analyze Logs")
+
+    # ✅ Fixed the typo here: analysis not analys
+    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()