sss

app.py

@@ -3,6 +3,8 @@ import pdfplumber
 import io
 import spacy
 from transformers import pipeline
+import subprocess
+import sys
 
 st.set_page_config(
     page_title="Resume Screener & Skill Extractor",
@@ -10,11 +12,21 @@ st.set_page_config(
     layout="wide"
 )
 
-# Load the NLP model
+# Download spaCy model if not already downloaded
+@st.cache_resource
+def download_spacy_model():
+    try:
+        nlp = spacy.load("en_core_web_sm")
+    except OSError:
+        subprocess.check_call([sys.executable, "-m", "spacy", "download", "en_core_web_sm"])
+        nlp = spacy.load("en_core_web_sm")
+    return nlp
+
+# Load the NLP models
 @st.cache_resource
 def load_models():
     summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
-    nlp = spacy.load("en_core_web_sm")
+    nlp = download_spacy_model()
     return summarizer, nlp
 
 # Initialize models

requirements.txt

@@ -1,5 +1,5 @@
 streamlit>=1.31.0
 pdfplumber>=0.10.3
 transformers>=4.37.2
+torch>=2.1.2
 spacy>=3.7.2
-https://huggingface.co/spacy/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl