Fix pip install on app.py

app.py

@@ -1,12 +1,21 @@
-!pip install -qq keybert
-!pip install -qq keyphrase_vectorizers
+import subprocess
+import sys
+
+def install(package):
+    subprocess.check_call([sys.executable, "-m", "pip", "install", package], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
+
+install("keybert")
+install("keyphrase_vectorizers")
+import warnings
 from keybert import KeyBERT
 from keyphrase_vectorizers import KeyphraseCountVectorizer
 import gradio as gr
 
-embedding = 'all-mpnet-base-v2'
-key_model = KeyBERT(model=embedding)
-vectorizer_params = KeyphraseCountVectorizer(spacy_pipeline='en_core_web_sm', pos_pattern='<J.*>*<N.*>+', stop_words='english', lowercase=True)
+with warnings.catch_warnings():
+    warnings.simplefilter("ignore", category=UserWarning)
+    embedding = 'all-mpnet-base-v2'
+    key_model = KeyBERT(model=embedding)
+    vectorizer_params = KeyphraseCountVectorizer(spacy_pipeline='en_core_web_sm', pos_pattern='<J.*>*<N.*>+', stop_words='english', lowercase=True)
 
 def get_keywords(course_name, course_desc):
     keywords_list = []
@@ -18,4 +27,4 @@ def get_keywords(course_name, course_desc):
     
 iface = gr.Interface(fn=get_keywords, inputs=[gr.Textbox(label="Course Name"), gr.Textbox(label="Course Description")], outputs=gr.Textbox(label="Relevant Tags"),
                      title="College Course Tags Generator", description="Generating tags/keywords based on Keyphrase-BERT Extraction'")
-iface.launch()
+iface.launch()