fix: Fixed import errors for UI and playground

llama_stack/distribution/ui/page/distribution/datasets.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 
 def datasets():

llama_stack/distribution/ui/page/distribution/eval_tasks.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 
 def benchmarks():

llama_stack/distribution/ui/page/distribution/models.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 
 def models():

llama_stack/distribution/ui/page/distribution/providers.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 
 def providers():

llama_stack/distribution/ui/page/distribution/resources.py

@@ -4,12 +4,12 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from page.distribution.benchmarks import benchmarks
-from page.distribution.datasets import datasets
-from page.distribution.models import models
-from page.distribution.scoring_functions import scoring_functions
-from page.distribution.shields import shields
-from page.distribution.vector_dbs import vector_dbs
+from llama_stack.distribution.ui.page.distribution.eval_tasks import benchmarks
+from llama_stack.distribution.ui.page.distribution.datasets import datasets
+from llama_stack.distribution.ui.page.distribution.models import models
+from llama_stack.distribution.ui.page.distribution.scoring_functions import scoring_functions
+from llama_stack.distribution.ui.page.distribution.shields import shields
+from llama_stack.distribution.ui.page.distribution.vector_dbs import vector_dbs
 from streamlit_option_menu import option_menu
 
 

llama_stack/distribution/ui/page/distribution/scoring_functions.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 
 def scoring_functions():

llama_stack/distribution/ui/page/distribution/shields.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 
 def shields():

llama_stack/distribution/ui/page/distribution/vector_dbs.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 
 def vector_dbs():

llama_stack/distribution/ui/page/evaluations/app_eval.py

@@ -8,8 +8,8 @@ import json
 
 import pandas as pd
 import streamlit as st
-from modules.api import llama_stack_api
-from modules.utils import process_dataset
+from llama_stack.distribution.ui.modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.utils import process_dataset
 
 
 def application_evaluation_page():

llama_stack/distribution/ui/page/evaluations/native_eval.py

@@ -8,7 +8,7 @@ import json
 
 import pandas as pd
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 
 def select_benchmark_1():

llama_stack/distribution/ui/page/playground/chat.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 import streamlit as st
-from modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.api import llama_stack_api
 
 # Sidebar configurations
 with st.sidebar:

llama_stack/distribution/ui/page/playground/rag.py

@@ -7,9 +7,9 @@
 import streamlit as st
 from llama_stack_client.lib.agents.agent import Agent
 from llama_stack_client.lib.agents.event_logger import EventLogger
-from llama_stack_client.types.memory_insert_params import Document
-from modules.api import llama_stack_api
-from modules.utils import data_url_from_file
+from llama_stack_client.types.shared.document import Document
+from llama_stack.distribution.ui.modules.api import llama_stack_api
+from llama_stack.distribution.ui.modules.utils import data_url_from_file
 
 
 def rag_chat_page():