Resetting Spacy

app.py

@@ -24,7 +24,7 @@ clip.clip._MODELS = {
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model, preprocess = clip.load("ViT-B/32", device=device, jit=False)
 
-nlp = spacy.load("en_core_web_sm")
+# nlp = spacy.load("en_core_web_sm")
 
 # Gradio Section:
 def run_demo(image, text):
@@ -45,13 +45,13 @@ def run_demo(image, text):
 
     # Apply NER to extract named entities, and run the explainability method
     # for each named entity.
-    highlighed_entities = []
-    for ent in nlp(text).ents:
-        ent_text = ent.text
-        ent_label = ent.label_
-        highlighed_entities.append((ent_text, ent_label))
+    # highlighed_entities = []
+    # for ent in nlp(text).ents:
+    #     ent_text = ent.text
+    #     ent_label = ent.label_
+    #     highlighed_entities.append((ent_text, ent_label))
 
-    print(highlighed_entities)
+    # print(highlighed_entities)
 
     return overlapped, highlighted_text
 

requirements.txt

@@ -97,8 +97,7 @@ Shapely==1.8.2
 six==1.16.0
 sniffio==1.2.0
 soupsieve==2.3.2.post1
-spacy==2.2.4
-en_core_web_sm @ https://huggingface.co/spacy/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl
+spacy
 stack-data==0.3.0
 tangled-up-in-unicode==0.2.0
 termcolor==1.1.0