Update app.py

app.py

@@ -6,7 +6,7 @@ import pdfplumber
 from langchain_community.vectorstores import FAISS
 from langchain_openai import OpenAIEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain_openai import OpenAIEmbeddings
+
 # Initialize system
 @st.cache_resource
 def init_system():
@@ -14,13 +14,10 @@ def init_system():
     process_pdf("Q1FY24.pdf")
     
     # 2. Load embeddings with secure API key
-   
-
-# In both places where embeddings are initialized:
-embeddings = OpenAIEmbeddings(
-    openai_api_key=os.getenv("OPENAI_API_KEY"),
-    model="text-embedding-ada-002"  # Explicit model name
-)
+    embeddings = OpenAIEmbeddings(
+        openai_api_key=os.getenv("OPENAI_API_KEY"),
+        model="text-embedding-ada-002"
+    )
     
     # 3. Load vector store
     vector_store = FAISS.load_local("faiss_index", embeddings)
@@ -49,7 +46,10 @@ def process_pdf(pdf_path):
     # Text Chunking & Embedding
     splitter = RecursiveCharacterTextSplitter(chunk_size=1000)
     chunks = splitter.split_text(full_text)
-    embeddings = OpenAIEmbeddings(openai_api_key=os.getenv("OPENAI_API_KEY"))
+    embeddings = OpenAIEmbeddings(
+        openai_api_key=os.getenv("OPENAI_API_KEY"),
+        model="text-embedding-ada-002"
+    )
     FAISS.from_texts(chunks, embeddings).save_local("faiss_index")
 
 # Streamlit UI