diff --git a/src/models/tests/integration/test_api_endpoints.py b/src/models/tests/integration/test_api_endpoints.py
index bbfd8642..294bcc31 100644
--- a/src/models/tests/integration/test_api_endpoints.py
+++ b/src/models/tests/integration/test_api_endpoints.py
@@ -3,7 +3,6 @@
 import io
 from unittest.mock import patch, MagicMock
 from api_service.api.routers.summarize import process_pdf, get_grade
-from api_service.api.routers.recommend import filter_dataframe, GenerativeModel
 import pandas as pd
 from fastapi import UploadFile
 from io import BytesIO
@@ -515,114 +514,4 @@ async def test_get_grade_success(mock_privacy_grader):
         "overall_grade": "A",
         "overall_score": 95,
         "category_scores": {"Category1": 90, "Category2": 100}
-    }
-
-@pytest.fixture
-def sample_df():
-    return pd.DataFrame({
-        'Service': ['App1', 'App2', 'App3'],
-        'Genre': ['Social', 'Music', 'Productivity'],
-        'privacy_rating': ['A', 'B', 'C'],
-        'Content Rating': ['Everyone', 'Teen', 'Mature'],
-        'app_score': [4.5, 4.0, 3.5],
-        'Installs': [1000000, 500000, 100000],
-        'num_ratings': [10000, 5000, 1000],
-        'num_reviews': [5000, 2500, 500],
-        'Free': [True, False, True],
-        'Contains Ads': [True, False, True]
-    })
-
-@pytest.fixture
-def mock_model():
-    mock = MagicMock(spec=GenerativeModel)
-    mock.generate_content.return_value = MagicMock(text="social")
-    return mock
-
-def test_filter_by_genre(sample_df, mock_model):
-    with patch('recommend.df', sample_df), \
-         patch('recommend.model', mock_model):
-        criteria = {'Genre': 'Social Media'}
-        result = filter_dataframe(criteria)
-        assert len(result) == 1
-        assert result.iloc[0]['Service'] == 'App1'
-
-def test_filter_by_privacy_rating(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'privacy_rating': 'B'}
-        result = filter_dataframe(criteria)
-        assert len(result) == 2
-        assert set(result['Service']) == {'App1', 'App2'}
-
-def test_filter_by_content_rating(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'Content Rating': 'Teen'}
-        result = filter_dataframe(criteria)
-        assert len(result) == 1
-        assert result.iloc[0]['Service'] == 'App2'
-
-def test_filter_by_app_score(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'app_score': 4.0}
-        result = filter_dataframe(criteria)
-        assert len(result) == 2
-        assert set(result['Service']) == {'App1', 'App2'}
-
-def test_filter_by_installs(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'Installs': 500000}
-        result = filter_dataframe(criteria)
-        assert len(result) == 2
-        assert set(result['Service']) == {'App1', 'App2'}
-
-def test_filter_by_num_ratings(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'num_ratings': 5000}
-        result = filter_dataframe(criteria)
-        assert len(result) == 2
-        assert set(result['Service']) == {'App1', 'App2'}
-
-def test_filter_by_num_reviews(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'num_reviews': 2500}
-        result = filter_dataframe(criteria)
-        assert len(result) == 2
-        assert set(result['Service']) == {'App1', 'App2'}
-
-def test_filter_by_free(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'Free': 'True'}
-        result = filter_dataframe(criteria)
-        assert len(result) == 2
-        assert set(result['Service']) == {'App1', 'App3'}
-
-def test_filter_by_contains_ads(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'Contains Ads': 'False'}
-        result = filter_dataframe(criteria)
-        assert len(result) == 1
-        assert result.iloc[0]['Service'] == 'App2'
-
-def test_multiple_criteria(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {
-            'privacy_rating': 'B',
-            'Free': 'False',
-            'app_score': 3.5
-        }
-        result = filter_dataframe(criteria)
-        assert len(result) == 1
-        assert result.iloc[0]['Service'] == 'App2'
-
-def test_no_matching_results(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'privacy_rating': 'D'}
-        result = filter_dataframe(criteria)
-        assert len(result) == 0
-
-def test_service_criterion_updates_genre_and_privacy_rating(sample_df):
-    with patch('recommend.df', sample_df):
-        criteria = {'Service': 'App2'}
-        result = filter_dataframe(criteria)
-        assert len(result) == 1
-        assert result.iloc[0]['Genre'] == 'Music'
-        assert result.iloc[0]['privacy_rating'] == 'B'
+    }
\ No newline at end of file