fixed pinecone

retrieval.py

@@ -15,8 +15,6 @@ from dotenv import load_dotenv
 from PIL import Image
 from transformers import (AutoModelForSequenceClassification, AutoTokenizer, GPT2Tokenizer, OPTForCausalLM, T5ForConditionalGeneration)
 
-PINECONE_API_KEY="insert your pinecone api key here"
-
 class Retrieval:
     def __init__(self,
                device='cuda',
@@ -35,12 +33,15 @@ class Retrieval:
     
     def _load_pinecone_vectorstore(self,):
         model_name = "intfloat/e5-large"  # best text embedding model. 1024 dims.
-        pincecone_index = pinecone.Index("uiuc-chatbot")
+        
         embeddings = HuggingFaceEmbeddings(model_name=model_name)
         #pinecone.init(api_key=os.environ['PINECONE_API_KEY'], environment="us-west1-gcp")
         pinecone.init(api_key=PINECONE_API_KEY, environment="us-west1-gcp")
+        pincecone_index = pinecone.Index("uiuc-chatbot")
 
+        print("PINECONE: ")
         print(pinecone.list_indexes())
+        print(pincecone_index.describe_index_stats())
 
         self.vectorstore = Pinecone(index=pincecone_index, embedding_function=embeddings.embed_query, text_key="text")