Upload 2 files

app.py

@@ -0,0 +1,52 @@
+# 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

requirements.txt

@@ -0,0 +1,7 @@
+gradio
+langchain
+transformers
+faiss-cpu
+pymupdf
+pandas
+tiktoken