Update app.py

app.py

@@ -1,3 +1,5 @@
+
+   
 import os
 import io
 import torch
@@ -7,6 +9,7 @@ import pdfplumber
 import ffmpeg  # ✅ Replaced moviepy with ffmpeg-python
 import librosa
 import soundfile as sf
+import subprocess
 from fastapi import FastAPI, UploadFile, File, HTTPException
 from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
 from sentence_transformers import SentenceTransformer, util
@@ -18,12 +21,15 @@ os.environ['CUDA_VISIBLE_DEVICES'] = '0'
 # ✅ Ensure GPU is Used
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# ✅ Load NLP Models
+# ✅ Fix Spacy Installation (Prevent Permission Errors)
 try:
-    if not spacy.util.is_package("en_core_web_sm"):
-        spacy.cli.download("en_core_web_sm")
-
     nlp = spacy.load("en_core_web_sm")
+except OSError:
+    subprocess.run(["python", "-m", "spacy", "download", "en_core_web_sm", "--user"])
+    nlp = spacy.load("en_core_web_sm")
+
+# ✅ Load NLP Models
+try:
     summarizer = pipeline("summarization", model="nsi319/legal-pegasus", device=0 if torch.cuda.is_available() else -1)
     embedding_model = SentenceTransformer("all-mpnet-base-v2", device=device)
     ner_model = pipeline("ner", model="dslim/bert-base-NER", tokenizer="dslim/bert-base-NER", device=0 if torch.cuda.is_available() else -1)
@@ -153,6 +159,3 @@ async def analyze_video(file: UploadFile = File(...)):
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=7860)
 
-
-
-