diff --git a/control/recommendation_handler.py b/control/recommendation_handler.py
index 6eca3ac..ae916b0 100644
--- a/control/recommendation_handler.py
+++ b/control/recommendation_handler.py
@@ -37,10 +37,7 @@
 #os.environ['TRANSFORMERS_CACHE'] ="./models/allmini/cache"
 import os.path
 from sentence_transformers import SentenceTransformer
-from umap import UMAP
-import tensorflow as tf
-from umap.parametric_umap import ParametricUMAP, load_ParametricUMAP
-from sentence_transformers import SentenceTransformer
+import pickle
 
 def populate_json(json_file_path = './prompt-sentences-main/prompt_sentences-all-minilm-l6-v2.json',
                     existing_json_populated_file_path = './prompt-sentences-main/prompt_sentences-all-minilm-l6-v2.json'):
@@ -210,19 +207,17 @@ def recommend_prompt(prompt, prompt_json, api_url, headers, add_lower_threshold
     """
     if(model_id == 'baai/bge-large-en-v1.5' ):
         json_file = './prompt-sentences-main/prompt_sentences-bge-large-en-v1.5.json'
-        umap_folder = './models/umap/BAAI/bge-large-en-v1.5/'
+        umap_model_file = './models/umap/intfloat/multilingual-e5-large/umap.pkl'
     elif(model_id == 'intfloat/multilingual-e5-large'):
         json_file = './prompt-sentences-main/prompt_sentences-multilingual-e5-large.json'
-        umap_folder = './models/umap/intfloat/multilingual-e5-large/'
+        umap_model_file = './models/umap/intfloat/multilingual-e5-large/umap.pkl'
     else: # fall back to all-minilm as default
         json_file = './prompt-sentences-main/prompt_sentences-all-minilm-l6-v2.json'
-        umap_folder = './models/umap/sentence-transformers/all-MiniLM-L6-v2/'
+        umap_model_file = './models/umap/sentence-transformers/all-MiniLM-L6-v2/umap.pkl'
+
+    with open(umap_model_file, 'rb') as f:
+        umap_model = pickle.load(f)
 
-    # Loading the encoder and config separately due to a bug
-    encoder = tf.keras.models.load_model( umap_folder )
-    with open( f"{umap_folder}umap_config.json", "r" ) as f:
-        config = json.load( f )
-    umap_model = ParametricUMAP( encoder=encoder, **config )
     prompt_json = json.load( open( json_file ) )
 
     # Output initialization
@@ -262,9 +257,9 @@ def recommend_prompt(prompt, prompt_json, api_url, headers, add_lower_threshold
     # Recommendation of values to remove from the current prompt
     for sentence in input_sentences:
         input_embedding = query(sentence, api_url, headers) # remote
-        # Obtaining XY coords for input sentences from a parametric UMAP model
+        # Obtaining XY coords for input sentences from a UMAP model
         if(len(prompt_json['negative_values'][0]['centroid']) == len(input_embedding) and sentence != ''):
-            embeddings_umap = umap_model.transform(tf.expand_dims(pd.DataFrame(input_embedding), axis=0))
+            embeddings_umap = umap_model.transform(np.expand_dims(pd.DataFrame(input_embedding).squeeze(), axis=0))
             input_items.append({
                 'sentence': sentence,
                 'x': str(embeddings_umap[0][0]),
@@ -376,19 +371,17 @@ def recommend_local(prompt, prompt_json, model_id, model_path = './models/all-Mi
     """
     if(model_id == 'baai/bge-large-en-v1.5' ):
         json_file = './prompt-sentences-main/prompt_sentences-bge-large-en-v1.5.json'
-        umap_folder = './models/umap/BAAI/bge-large-en-v1.5/'
+        umap_model_file = './models/umap/intfloat/multilingual-e5-large/umap.pkl'
     elif(model_id == 'intfloat/multilingual-e5-large'):
         json_file = './prompt-sentences-main/prompt_sentences-multilingual-e5-large.json'
-        umap_folder = './models/umap/intfloat/multilingual-e5-large/'
+        umap_model_file = './models/umap/intfloat/multilingual-e5-large/umap.pkl'
     else: # fall back to all-minilm as default
         json_file = './prompt-sentences-main/prompt_sentences-all-minilm-l6-v2.json'
-        umap_folder = './models/umap/sentence-transformers/all-MiniLM-L6-v2/'
+        umap_model_file = './models/umap/sentence-transformers/all-MiniLM-L6-v2/umap.pkl'
+
+    with open(umap_model_file, 'rb') as f:
+        umap_model = pickle.load(f)
 
-    # Loading the encoder and config separately due to a bug
-    encoder = tf.keras.models.load_model( umap_folder )
-    with open( f"{umap_folder}umap_config.json", "r" ) as f:
-        config = json.load( f )
-    umap_model = ParametricUMAP( encoder=encoder, **config )
     prompt_json = json.load( open( json_file ) )
 
     # Output initialization
@@ -428,9 +421,9 @@ def recommend_local(prompt, prompt_json, model_id, model_path = './models/all-Mi
     # Recommendation of values to remove from the current prompt
     for sentence in input_sentences:
         input_embedding = model.encode(sentence) # local
-        # Obtaining XY coords for input sentences from a parametric UMAP model
+        # Obtaining XY coords for input sentences from a UMAP model
         if(len(prompt_json['negative_values'][0]['centroid']) == len(input_embedding) and sentence != ''):
-            embeddings_umap = umap_model.transform(tf.expand_dims(pd.DataFrame(input_embedding), axis=0))
+            embeddings_umap = umap_model.transform(np.expand_dims(pd.DataFrame(input_embedding).squeeze(), axis=0))
             input_items.append({
                 'sentence': sentence,
                 'x': str(embeddings_umap[0][0]),
diff --git a/models/umap/BAAI/bge-large-en-v1.5/fingerprint.pb b/models/umap/BAAI/bge-large-en-v1.5/fingerprint.pb
deleted file mode 100644
index a5e3685..0000000
--- a/models/umap/BAAI/bge-large-en-v1.5/fingerprint.pb
+++ /dev/null
@@ -1 +0,0 @@
-�������U�֙�����.¼ؗ���E ������āi(܀�����A2

\ No newline at end of file
diff --git a/models/umap/BAAI/bge-large-en-v1.5/keras_metadata.pb b/models/umap/BAAI/bge-large-en-v1.5/keras_metadata.pb
deleted file mode 100644
index 211f6c0..0000000
--- a/models/umap/BAAI/bge-large-en-v1.5/keras_metadata.pb
+++ /dev/null
@@ -1,7 +0,0 @@
-
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diff --git a/models/umap/BAAI/bge-large-en-v1.5/saved_model.pb b/models/umap/BAAI/bge-large-en-v1.5/saved_model.pb
deleted file mode 100644
index a5a4442..0000000
Binary files a/models/umap/BAAI/bge-large-en-v1.5/saved_model.pb and /dev/null differ
diff --git a/models/umap/BAAI/bge-large-en-v1.5/umap.pkl b/models/umap/BAAI/bge-large-en-v1.5/umap.pkl
new file mode 100644
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Binary files /dev/null and b/models/umap/BAAI/bge-large-en-v1.5/umap.pkl differ
diff --git a/models/umap/BAAI/bge-large-en-v1.5/umap_config.json b/models/umap/BAAI/bge-large-en-v1.5/umap_config.json
deleted file mode 100644
index 0d63855..0000000
--- a/models/umap/BAAI/bge-large-en-v1.5/umap_config.json
+++ /dev/null
@@ -1 +0,0 @@
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deleted file mode 100644
index c50823d..0000000
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index 00cb7a8..0000000
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diff --git a/models/umap/intfloat/multilingual-e5-large/fingerprint.pb b/models/umap/intfloat/multilingual-e5-large/fingerprint.pb
deleted file mode 100644
index 03c0f53..0000000
--- a/models/umap/intfloat/multilingual-e5-large/fingerprint.pb
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@@ -1 +0,0 @@
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(ꐬ�����
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diff --git a/models/umap/intfloat/multilingual-e5-large/keras_metadata.pb b/models/umap/intfloat/multilingual-e5-large/keras_metadata.pb
deleted file mode 100644
index 2859d1b..0000000
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+++ /dev/null
@@ -1,7 +0,0 @@
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\ No newline at end of file
diff --git a/models/umap/sentence-transformers/all-MiniLM-L6-v2/saved_model.pb b/models/umap/sentence-transformers/all-MiniLM-L6-v2/saved_model.pb
deleted file mode 100644
index 259f0e2..0000000
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diff --git a/models/umap/sentence-transformers/all-MiniLM-L6-v2/umap.pkl b/models/umap/sentence-transformers/all-MiniLM-L6-v2/umap.pkl
new file mode 100644
index 0000000..e3fe08c
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diff --git a/models/umap/sentence-transformers/all-MiniLM-L6-v2/umap_config.json b/models/umap/sentence-transformers/all-MiniLM-L6-v2/umap_config.json
deleted file mode 100644
index 0d63855..0000000
--- a/models/umap/sentence-transformers/all-MiniLM-L6-v2/umap_config.json
+++ /dev/null
@@ -1 +0,0 @@
-{"n_neighbors": 15, "min_dist": 0.1, "metric": "euclidean", "n_epochs": null, "random_state": 13}
\ No newline at end of file
diff --git a/models/umap/sentence-transformers/all-MiniLM-L6-v2/variables/variables.data-00000-of-00001 b/models/umap/sentence-transformers/all-MiniLM-L6-v2/variables/variables.data-00000-of-00001
deleted file mode 100644
index 99b8970..0000000
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diff --git a/models/umap/sentence-transformers/all-MiniLM-L6-v2/variables/variables.index b/models/umap/sentence-transformers/all-MiniLM-L6-v2/variables/variables.index
deleted file mode 100644
index 13bcd80..0000000
Binary files a/models/umap/sentence-transformers/all-MiniLM-L6-v2/variables/variables.index and /dev/null differ
diff --git a/requirements.txt b/requirements.txt
index ca7393b..a3ff8b2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -65,10 +65,8 @@ sentence-transformers==4.1.0
 shellingham==1.5.4
 six==1.16.0
 sniffio==1.3.1
-tensorflow==2.16.2
-tf-keras==2.16.0
 threadpoolctl==3.5.0
-torch==2.2.2
+torch==2.6.0
 tomli==2.0.1
 typer==0.12.5
 typing_extensions==4.12.2