Update app.py

app.py

@@ -55,6 +55,11 @@ for _, row in df.iterrows():
 if len(texts) != len(metadatas):
     raise ValueError("Mismatch between texts and metadata after preprocessing.")
 
+
+# Step 5: Initialize the LLM
+openai_api_key = os.getenv("tauhid")
+print(f"API key retrieved: {'[NOT FOUND]' if not openai_api_key else '[FOUND - first 4 chars: ' + openai_api_key[:4] + ']'}")
+
 # Step 4: Create the Vector Store
 embeddings = OpenAIEmbeddings()
 vector_store = FAISS.from_texts(
@@ -62,9 +67,7 @@ vector_store = FAISS.from_texts(
     embedding=embeddings,
     metadatas=metadatas
 )
-# Step 5: Initialize the LLM
-openai_api_key = os.getenv("tauhid")
-print(f"API key retrieved: {'[NOT FOUND]' if not openai_api_key else '[FOUND - first 4 chars: ' + openai_api_key[:4] + ']'}")
+
 
 # Initialize the LLM
 llm = ChatOpenAI(