Update app.py

app.py

@@ -3,6 +3,21 @@ from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
 import spacy
 import gradio as gr
+import subprocess
+
+def download_spacy_model(model_name):
+    command = f"python -m spacy download {model_name}"
+    process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    stdout, stderr = process.communicate()
+
+    # Check if the command executed successfully
+    if process.returncode != 0:
+        print(f"An error occurred while downloading the model: {stderr.decode('utf-8')}")
+    else:
+        print(f"Successfully downloaded the model: {stdout.decode('utf-8')}")
+
+# Call the function to download the model
+
 # def find_closest(query):
 #     files_contents = []
 #     files_names = []
@@ -33,6 +48,7 @@ import gradio as gr
 #     return files_names[max_similarity_idx]
 
 def find_closest(query):
+    download_spacy_model('en_core_web_md')
     nlp = spacy.load('en_core_web_md')
     files_names = []
     files_vectors = []