reformatting with black

machine-learning-client/tests/ml_tests.py

@@ -4,15 +4,15 @@
 from machine_learning_client import ML
 
 
-
-
 class Tests:
-    """ Tests class for ml_tests.py """
+    """Tests class for ml_tests.py"""
+
     def test_audio_text_conversion(self):
         """testing audio_to_text function in ML with valid audiofile as input"""
-        actual = ML.audio_to_text(self,
+        actual = ML.audio_to_text(
+            self,
             r"C:\Users\Administrator\Desktop\NYU_Undergrad\SoftwareEngineering"
-            r"\4-containerized-app-exercise-rizzballs\machine-learning-client\tests\richard.aiff"
+            r"\4-containerized-app-exercise-rizzballs\machine-learning-client\tests\richard.aiff",
         )
         assert isinstance(
             actual, str
@@ -30,5 +30,5 @@ def test_grade_response(self):
         assert (
             actual.lower()
             == "your response had hello appearing 5 times ugh appearing 0 times "
-        ),f"Expected the result to be 'your response had hello appearing 5 times \
+        ), f"Expected the result to be 'your response had hello appearing 5 times \
             ugh appearing 0 times '. Instead it returned {actual}"

web-app/app.py

@@ -1,4 +1,3 @@
-
 """
 app.py file that helps serve as the front end of our application
 """
@@ -39,13 +38,13 @@ def analyze_data():
         result = subprocess.run(
             [
                 "C:\\Users\\Andrew - User\\AppData\\Local\\Microsoft\\WindowsApps\\python.exe",
-                "E:\\4-containerized-app-exercise-rizzballs\\machine-learning-client\\machine_learning_client.py", # pylint: disable=line-too-long
-                audio_path, # pylint: disable=line-too-long disable=trailing-whitespace
+                "E:\\4-containerized-app-exercise-rizzballs\\machine-learning-client\\machine_learning_client.py",  # pylint: disable=line-too-long
+                audio_path,  # pylint: disable=line-too-long disable=trailing-whitespace
             ],
             capture_output=True,
             text=True,
-            check=True
-            )
+            check=True,
+        )
         if result.returncode == 0:
             print("Process succeeded!")
         else:
@@ -60,8 +59,6 @@ def analyze_data():
         return jsonify({"status": "error", "message": f"Subprocess failed: {str(e)}"})
 
 
-
-
 if __name__ == "__main__":
     PORT = os.getenv("PORT", "5000")
     app.run(debug=True, port=PORT)