Update app.py

app.py

@@ -1,7 +1,3 @@
-# ✅ Mount Google Drive
-from google.colab import drive
-drive.mount('/content/drive')
-
 # ✅ Set up your OpenAI API Key
 import os
 os.environ["OPENAI_API_KEY"] = "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"  # 🔐 Replace with your key
@@ -29,8 +25,8 @@ def build_rag_agent(pdf_path):
     return RetrievalQA.from_chain_type(llm=llm, retriever=retriever, chain_type="stuff")
 
 # ✅ Create RAG agents for course syllabi
-stat6371_agent = build_rag_agent("/content/drive/MyDrive/PDFs/ds_6371_syllabus Ver 7.pdf")
-ds6306_agent = build_rag_agent("/content/drive/MyDrive/PDFs/DDS_Syllabus_2025.pdf")
+stat6371_agent = build_rag_agent("ds6371syllabusVer7.pdf")
+ds6306_agent = build_rag_agent("DDSSyllabus2025.pdf")
 
 # ✅ Load Hugging Face fine-tuned model for general statistics questions
 general_stat_agent = pipeline("text2text-generation", model="google/flan-t5-base")  # Replace with your model