Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,28 +1,41 @@
+import streamlit as st
 import os
 import subprocess
 import nltk
 import spacy
+import benepar
+from nltk import Tree
 
-# Setup NLTK
+# Set NLTK path to writable /tmp
 nltk_data_path = "/tmp/nltk_data"
-nltk.download('punkt', download_dir=nltk_data_path)
-nltk.download('benepar_en3', download_dir=nltk_data_path)
 nltk.data.path.append(nltk_data_path)
 
-# Load spaCy model with fallback
+# Download safely
+nltk.download('punkt', download_dir=nltk_data_path)
+
+# Load spaCy model with fallback install
 try:
     nlp = spacy.load("en_core_web_sm")
 except:
-    subprocess.run(["python", "-m", "spacy", "download", "en_core_web_sm"])
+    subprocess.run(["python", "-m", "pip", "install", "--user", "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl"])
+    import importlib
+    importlib.invalidate_caches()
     nlp = spacy.load("en_core_web_sm")
-    
+
+# Load benepar model safely
 if "benepar" not in nlp.pipe_names:
+    try:
+        benepar.download('benepar_en3')  # safe internal method
+    except:
+        subprocess.run(["python", "-m", "benepar.download", "benepar_en3"])
     nlp.add_pipe("benepar", config={"model": "benepar_en3"})
 
-st.set_page_config(page_title="Syntax Parser Comparison Tool", layout="wide")
+# Streamlit UI
+st.set_page_config(page_title="Syntax Parser Comparison", layout="wide")
 st.title("🌐 Syntax Parser Comparison Tool")
 st.write("This tool compares Dependency Parsing, Constituency Parsing, and a simulated Abstract Syntax Representation (ASR).")
 
+# Input
 sentence = st.text_input("Enter a sentence:", "John eats an apple.")
 
 if sentence: