Add application file

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import os
 from PyPDF2 import PdfReader
-from transformers import pipeline, AutoModelForSeq2SeqLM, AutoTokenizer # Added AutoModelForSeq2SeqLM, AutoTokenizer
+from transformers import pipeline, AutoModelForSeq2SeqLM, AutoTokenizer
 import math
 import tempfile
 import nltk
@@ -12,7 +12,7 @@ import nltk
 # --- Configuration ---
 QG_MODEL_NAME = "valhalla/t5-small-e2e-qg"
 # Define the local path where the model will be cached inside the Docker container
-LOCAL_MODEL_CACHE_DIR = "/app/model_cache" # Added local model cache directory
+LOCAL_MODEL_CACHE_DIR = "/app/model_cache"
 
 CHUNK_SIZE_FOR_QG = 700  # Target characters per text chunk for LLM processing
 OVERLAP_PERCENTAGE = 0.15 # 15% overlap between chunks for context preservation
@@ -764,4 +764,5 @@ iface = gr.Interface(
 
 # Launch the Gradio app
 if __name__ == "__main__":
-    iface.launch(share = True)
+    # Set share=False to avoid potential hangs with public URL generation
+    iface.launch(share=False)