Update app.py

app.py

@@ -50,8 +50,11 @@ load_dotenv()
 app = FastAPI()
 
 # API Keys
-PINECONE_API_KEY = os.getenv("pcsk_7QKLEa_RCEnZawP7NgzW9FhfbjX8szFb66WYpcturDk5EHpvHHH97REiXKcgyqrhuuYH1d")
-PINECONE_ENV = os.getenv("us-east-1")
+import os
+from dotenv import load_dotenv
+
+PINECONE_API_KEY = os.getenv("PINECONE_API_KEY")
+PINECONE_ENV = os.getenv("PINECONE_ENV")
 INDEX_NAME = "agenticrag"
 
 if not PINECONE_API_KEY:
@@ -63,7 +66,7 @@ pc = Pinecone(api_key=PINECONE_API_KEY)
 vector_store = Pinecone.from_existing_index(index_name=INDEX_NAME, embedding=embeddings)
 
 # Load LLM & Memory
-llm = ChatAnthropic(model="claude-2", temperature=0)
+llm = ChatAnthropic(model="claude-2", temperature=0, Anthropic_API_Key=os.getenv="Anthropic_API_Key")
 memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
 
 # Build RAG Chain