Update app.py

app.py

@@ -4,10 +4,15 @@ from langchain_groq import ChatGroq
 from langchain.prompts import ChatPromptTemplate
 from langchain.chains import RetrievalQA, ConversationalRetrievalChain
 from langchain.memory import ConversationBufferMemory
+from langchain_huggingface.embeddings import HuggingFaceEmbeddings
+from langchain.vectorstores import Chroma
 
 def rag_retriever(message, history, system_prompt, num_sources=4, temperature=0):
     chat = ChatGroq(temperature=temperature, model_name="llama3-70b-8192", api_key=os.getenv("GROQ_API_KEY"))
 
+    embeddings = HuggingFaceEmbeddings(model_name="avsolatorio/GIST-large-Embedding-v0")
+    store = Chroma(persist_directory="chroma.sqlite3", embedding_function=embeddings, collection_name='ai_act')
+
     prompt_template = ChatPromptTemplate.from_messages([
         ("system", system_prompt+"""