initial commit

app.py

@@ -2,7 +2,6 @@ from gradio_client import Client
 import gradio as gr
 import requests
 from langchain.chains import RetrievalQA
-from langchain.vectorstores import Pinecone
 import pinecone
 from langchain.vectorstores import Pinecone
 import os
@@ -15,6 +14,12 @@ embed_model_id = 'sentence-transformers/all-MiniLM-L6-v2'
 embed_model = HuggingFaceEmbeddings(
     model_name=embed_model_id,
 )
+docs = [
+    "this is one document",
+    "and another document"
+]
+
+embeddings = embed_model.embed_documents(docs)
 pinecone.init(
     api_key=os.environ.get('PINECONE_API_KEY'),
     environment=os.environ.get('PINECONE_ENVIRONMENT')