diff --git a/README.md b/README.md
index 2d70f05b..0a7011f0 100644
--- a/README.md
+++ b/README.md
@@ -76,6 +76,7 @@ In case you want to use the Graphical User Interface, use following command in t
 ```bash
 alphastats gui
 ```
+If you get an `AxiosError: Request failed with status code 403'` when uploading files, try running `DISABLE_XSRF=1 alphastats gui`.
 
 AlphaStats can be imported as a Python package into any Python script or notebook with the command `import alphastats`.
 A brief [Jupyter notebook tutorial](nbs/getting_started.ipynb) on how to use the API is also present in the [nbs folder](nbs).
diff --git a/alphastats/gui/pages/02_Import Data.py b/alphastats/gui/pages/02_Import Data.py
index d9682f53..6ea07b27 100644
--- a/alphastats/gui/pages/02_Import Data.py	
+++ b/alphastats/gui/pages/02_Import Data.py	
@@ -59,14 +59,14 @@ def _finalize_data_loading(
     loader, metadata_columns, dataset = load_example_data()
 
     _finalize_data_loading(loader, metadata_columns, dataset)
-    # st.page_link("pages/03_Data Overview.py", label="=> Go to data overview..")  # TODO: needs newer streamlit
+    st.page_link("pages/03_Data Overview.py", label="=> Go to data overview..")
     st.stop()
 
 
 st.markdown("### Import Proteomics Data")
 if "dataset" in st.session_state:
     st.info(f"DataSet already present.")
-    # st.page_link("pages/03_Data Overview.py", label="=> Go to data overview..")   # TODO: needs newer streamlit
+    st.page_link("pages/03_Data Overview.py", label="=> Go to data overview..")
     st.stop()
 
 
@@ -167,4 +167,4 @@ def _finalize_data_loading(
     st.info("DataSet has been created.")
     _finalize_data_loading(loader, metadata_columns, dataset)
 
-    # st.page_link("pages/03_Data Overview.py", label="=> Go to data overview..")   # TODO: needs newer streamlit
+    st.page_link("pages/03_Data Overview.py", label="=> Go to data overview..")
diff --git a/requirements.txt b/requirements.txt
index 114b534d..21be8a81 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -20,7 +20,7 @@ scikit-learn==1.2.2
 scipy==1.10.1
 sklearn_pandas==2.2.0
 statsmodels==0.14.0
-streamlit==1.33.0
+streamlit==1.38.0
 swifter==1.2.0
 tables==3.7.0
 tqdm>=4.64.0