✅ Final: Switched to Phi-1.5 and cleaned requirements.txt

app.py

@@ -6,13 +6,12 @@ import gradio as gr
 from PyPDF2 import PdfReader
 from docx import Document as DocxDocument
 from pptx import Presentation
-from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
+from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 from langchain_community.vectorstores import FAISS
 from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain_core.documents import Document
 
-#extra
 # Load Reasoning Model (CPU-friendly with better reasoning)
 model_id = "microsoft/phi-1_5"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
@@ -178,7 +177,7 @@ def ask_question(question):
 with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
     gr.Markdown("""
     # 📚 AI Study Assistant
-    Upload your lecture slide/text file, ask questions, and get intelligent answers powered by Flan-T5.
+    Upload your lecture slide/text file, ask questions, and get intelligent answers powered by Phi-1.5.
     """)
 
     with gr.Tab("Upload & Ask"):

requirements.txt

@@ -6,6 +6,6 @@ python-docx
 gradio
 PyPDF2
 langchain
-sentence-transformers
 langchain_community
+sentence-transformers
 accelerate