diff --git a/.github/workflows/sonarqube.yml b/.github/workflows/sonarqube.yml
index 029b628..cc040cb 100644
--- a/.github/workflows/sonarqube.yml
+++ b/.github/workflows/sonarqube.yml
@@ -1,12 +1,7 @@
 name: SonarQube analysis
 
-on: 
-  push:
-    branches:
-      - main
-  pull_request:
-    branches:
-      - main
+on:
+  workflow_dispatch: {}
 
 permissions:
   pull-requests: read
diff --git a/get-temp.py b/get-temp.py
deleted file mode 100644
index d34e013..0000000
--- a/get-temp.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from datetime import datetime, timezone, timedelta
-import re
-import requests
-
-_sensor_stats = {"total_sensors": 0, "null_count": 0}
-
-def classify_temperature(average):
-    '''Classify temperature based on ranges using dictionary approach'''
-    # Define temperature ranges and their classifications
-    temp_classifications = {
-        "cold": (float('-inf'), 10, "Warning: Too cold"),
-        "good": (10, 36, "Good"), 
-        "hot": (36, float('inf'), "Warning: Too hot")
-    }
-
-    # Find the appropriate classification
-    for _, (min_temp, max_temp, status) in temp_classifications.items():
-        if min_temp < average <= max_temp:
-            return status
-
-    return "Unknown"  # Default case
-
-def get_temperature():
-    '''Function to get the average temperature from OpenSenseMap API.'''
-
-    print("Fetching new data from OpenSenseMap API...")
-
-    # Ensuring that data is not older than 1 hour.
-    time_iso = (datetime.now(timezone.utc) - timedelta(hours=1)).isoformat().replace("+00:00", "Z")
-
-    params = {
-        "date": time_iso,
-        "format": "json"
-    }
-
-    print('Getting data from OpenSenseMap API...')
-
-    response = requests.get("https://api.opensensemap.org/boxes", params=params, timeout=480)
-    print('Data retrieved successfully!')
-
-    _sensor_stats["total_sensors"] = sum(
-        1 for line in response.text.splitlines() if re.search(r'^\s*"sensors"\s*:\s*\[', line)
-    )
-
-    res = [d.get('sensors') for d in response.json() if 'sensors' in d]
-
-    temp_list = []
-    _sensor_stats["null_count"] = 0  # Initialize counter for null measurements
-
-    for sensor_list in res:
-        for measure in sensor_list:
-            if measure.get('unit') == "°C" and 'lastMeasurement' in measure:
-                last_measurement = measure['lastMeasurement']
-                if last_measurement is not None and 'value' in last_measurement:
-                    last_measurement_int = float(last_measurement['value'])
-                    temp_list.append(last_measurement_int)
-                else:
-                    _sensor_stats["null_count"] += 1
-
-    average = sum(temp_list) / len(temp_list) if temp_list else 0
-
-    # Use the dictionary-based classification
-    status = classify_temperature(average)
-    result = f'Average temperature: {average:.2f} °C ({status})\n'
-
-
-    return result, _sensor_stats
\ No newline at end of file