Update app.py

app.py

@@ -49,11 +49,7 @@ def get_vectorstore(text_chunks,selected_embedding):
         
         embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
     elif selected_embedding == 'Cohere-multilingual-v3.0':
-        
-        embeddings = CohereEmbeddings(
-            model="embed-multilingual-v3.0",
-            cohere_api_key=os.environ.get("COHERE_API_KEY")
-        )
+        embeddings = CohereEmbeddings(model="embed-multilingual-v3.0")
 
     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
     vectorstore.save_local("faiss_index")
@@ -67,11 +63,7 @@ def load_vectorstore(text_chunks,selected_embedding):
         embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
         vectorstore = FAISS.load_local("faiss_index", embeddings)
     elif selected_embedding == 'Cohere-multilingual-v3.0':
-   
-        embeddings = CohereEmbeddings(
-            model="embed-multilingual-v3.0",
-            cohere_api_key=os.environ.get("COHERE_API_KEY")
-        )
+        embeddings = CohereEmbeddings(model="embed-multilingual-v3.0")
     
     vectorstore = FAISS.load_local("faiss_index", embeddings)
     return vectorstore
@@ -173,7 +165,8 @@ def get_conversation_chain(vectorstore,selected_llm,selected_temperature):
 def handle_userinput(user_question):
 
     #print('Question: ' + user_question)
-    response = st.session_state.conversation({'question': user_question}) 
+    response = st.session_state.conversation.invoke({'question': user_question}) 
+    
 
     anser = response.get("answer")
     sources = response.get("source_documents", [])