Update app.py

app.py

@@ -1,9 +1,9 @@
 import gradio as gr
 import re
 
-# =========================
+# ============================================
 # KPI Extraction
-# =========================
+# ============================================
 
 def extract_value(text, key):
     pattern = rf"{key}\s*=\s*(-?\d+\.?\d*)"
@@ -14,9 +14,9 @@ def extract_value(text, key):
 
     return None
 
-# =========================
-# Main Analysis
-# =========================
+# ============================================
+# Main Analysis Logic
+# ============================================
 
 def analyze_ul_interference(vendor, data):
 
@@ -34,9 +34,9 @@ def analyze_ul_interference(vendor, data):
     bler = extract_value(data, "PUSCH BLER")
     cqi = extract_value(data, "CQI")
 
-    # =========================
+    # ============================================
     # UL SINR
-    # =========================
+    # ============================================
 
     if ul_sinr is not None:
 
@@ -48,9 +48,9 @@ def analyze_ul_interference(vendor, data):
             findings.append(f"Poor UL SINR detected ({ul_sinr} dB)")
             severity = "MEDIUM"
 
-    # =========================
+    # ============================================
     # RTWP
-    # =========================
+    # ============================================
 
     if rtwp is not None:
 
@@ -62,9 +62,9 @@ def analyze_ul_interference(vendor, data):
             findings.append(f"Elevated RTWP/noise floor ({rtwp} dBm)")
             severity = "MEDIUM"
 
-    # =========================
+    # ============================================
     # BLER
-    # =========================
+    # ============================================
 
     if bler is not None:
 
@@ -75,18 +75,18 @@ def analyze_ul_interference(vendor, data):
         elif bler > 15:
             findings.append(f"Elevated PUSCH BLER ({bler}%)")
 
-    # =========================
+    # ============================================
     # CQI
-    # =========================
+    # ============================================
 
     if cqi is not None:
 
         if cqi < 5:
             findings.append(f"Low CQI detected ({cqi})")
 
-    # =========================
+    # ============================================
     # PRB
-    # =========================
+    # ============================================
 
     congestion = False
     interference = False
@@ -97,9 +97,9 @@ def analyze_ul_interference(vendor, data):
             findings.append(f"High UL PRB utilization ({ul_prb}%)")
             congestion = True
 
-    # =========================
+    # ============================================
     # Classification Logic
-    # =========================
+    # ============================================
 
     if (
         ul_sinr is not None and ul_sinr < 0 and
@@ -108,6 +108,10 @@ def analyze_ul_interference(vendor, data):
     ):
         interference = True
 
+    # ============================================
+    # Interference Condition
+    # ============================================
+
     if interference:
 
         condition = "LIKELY UL INTERFERENCE"
@@ -129,6 +133,10 @@ def analyze_ul_interference(vendor, data):
             "Review recent maintenance activity"
         ]
 
+    # ============================================
+    # Congestion Condition
+    # ============================================
+
     elif congestion:
 
         condition = "LIKELY CAPACITY CONGESTION"
@@ -147,6 +155,10 @@ def analyze_ul_interference(vendor, data):
             "Review carrier utilization"
         ]
 
+    # ============================================
+    # Normal Condition
+    # ============================================
+
     else:
 
         condition = "NO MAJOR UL IMPAIRMENT DETECTED"
@@ -155,48 +167,41 @@ def analyze_ul_interference(vendor, data):
             "Continue KPI monitoring"
         ]
 
-    result = f"""
-# UL Interference Analysis
-
-## Vendor
-**{vendor}**
-
-## Condition
-**{condition}**
-
-## Severity
-**{severity}**
-
----
-
-## Findings
-
-{chr(10).join([f"- {x}" for x in findings])}
+    # ============================================
+    # Markdown Formatting
+    # ============================================
 
----
-
-## Likely Causes
-
-{chr(10).join([f"- {x}" for x in causes])}
-
----
-
-## Recommended Actions
+    findings_md = "### Findings\n\n" + "\n".join(
+        [f"- {x}" for x in findings]
+    )
 
-{chr(10).join([f"- {x}" for x in actions])}
+    causes_md = "### Likely Causes\n\n" + "\n".join(
+        [f"- {x}" for x in causes]
+    )
 
----
+    actions_md = "### Recommended Actions\n\n" + "\n".join(
+        [f"- {x}" for x in actions]
+    )
 
-## Engineering Assessment
+    assessment_md = """
+### Engineering Assessment
 
 Analysis completed using LTE/5G uplink KPI and PM counter thresholds.
 """
 
-    return result
+    return (
+        condition,
+        severity,
+        vendor,
+        findings_md,
+        causes_md,
+        actions_md,
+        assessment_md
+    )
 
-# =========================
-# Examples
-# =========================
+# ============================================
+# Example Inputs
+# ============================================
 
 examples = [
     [
@@ -216,12 +221,21 @@ RTWP = -108
 UL PRB = 96
 DL PRB = 92
 CQI = 11"""
+    ],
+    [
+        "Samsung",
+        """UL SINR = -2
+PUSCH BLER = 18
+RTWP = -99
+UL PRB = 88
+DL PRB = 81
+CQI = 6"""
     ]
 ]
 
-# =========================
+# ============================================
 # UI
-# =========================
+# ============================================
 
 with gr.Blocks(theme=gr.themes.Default()) as demo:
 
@@ -232,30 +246,82 @@ AI-assisted LTE and 5G uplink interference analysis using KPI and PM counter ind
 """)
 
     vendor = gr.Dropdown(
-    choices=["Ericsson", "Nokia", "Samsung"],
-    value="Ericsson",
-    label="RAN Vendor",
-    container=False
+        choices=["Ericsson", "Nokia", "Samsung"],
+        value="Ericsson",
+        label="RAN Vendor",
+        container=False
     )
 
     data_input = gr.Textbox(
-        lines=14,
+        lines=10,
         label="Paste KPI / PM Counter Data"
     )
 
-    analyze_btn = gr.Button("Analyze")
+    analyze_btn = gr.Button(
+        "Analyze",
+        variant="primary"
+    )
+
+    # ============================================
+    # Top Status Row
+    # ============================================
+
+    with gr.Row():
+
+        condition_box = gr.Textbox(
+            label="Condition",
+            interactive=False
+        )
+
+        severity_box = gr.Textbox(
+            label="Severity",
+            interactive=False
+        )
+
+        vendor_box = gr.Textbox(
+            label="Vendor",
+            interactive=False
+        )
 
-    output = gr.Markdown()
+    # ============================================
+    # Main Analysis Panels
+    # ============================================
+
+    with gr.Row():
+
+        findings_box = gr.Markdown()
+
+        causes_box = gr.Markdown()
+
+        actions_box = gr.Markdown()
+
+    assessment_box = gr.Markdown()
+
+    # ============================================
+    # Examples
+    # ============================================
 
     gr.Examples(
         examples=examples,
         inputs=[vendor, data_input]
     )
 
+    # ============================================
+    # Button Action
+    # ============================================
+
     analyze_btn.click(
         fn=analyze_ul_interference,
         inputs=[vendor, data_input],
-        outputs=output
+        outputs=[
+            condition_box,
+            severity_box,
+            vendor_box,
+            findings_box,
+            causes_box,
+            actions_box,
+            assessment_box
+        ]
     )
 
 demo.launch()