Fix tensorboard - last attempt

apps/article.py

@@ -3,7 +3,7 @@ from apps.utils import read_markdown
 from .streamlit_tensorboard import st_tensorboard, kill_tensorboard
 from .utils import Toc
 def app(state=None):
-    kill_tensorboard()
+    #kill_tensorboard()
     toc = Toc()
     st.info("Welcome to our Multilingual-VQA demo. Please use the navigation sidebar to move to our demo, or scroll below to read all about our project. 🤗 In case the sidebar isn't properly rendered, please change to a smaller window size and back to full screen.")
     
@@ -30,7 +30,8 @@ def app(state=None):
     st.write(read_markdown("pretraining/model.md"))
     toc.subsubheader("MLM Training Logs")
     st.info("In case the TensorBoard logs are not displayed, please visit this link: https://huggingface.co/flax-community/multilingual-vqa-pt-ckpts/tensorboard")
-    st_tensorboard(logdir='./logs/pretrain_logs', port=6006)
+    if state.tb1 is None:
+        state.tb1 = st_tensorboard(logdir='./logs/pretrain_logs', port=6006)
     
     
     toc.subheader("Finetuning")
@@ -40,7 +41,8 @@ def app(state=None):
     st.write(read_markdown("finetuning/model.md"))
     toc.subsubheader("VQA Training Logs")
     st.info("In case the TensorBoard logs are not displayed, please visit this link: https://huggingface.co/flax-community/multilingual-vqa-pt-60k-ft/tensorboard")
-    st_tensorboard(logdir='./logs/finetune_logs', port=6007)
+    if state.tb2 is None:
+        state.tb2 = st_tensorboard(logdir='./logs/finetune_logs', port=6007)
     
     toc.header("Challenges and Technical Difficulties")
     st.write(read_markdown("challenges.md"))

apps/streamlit_tensorboard.py

@@ -67,8 +67,8 @@ def st_tensorboard(logdir="/logs/", port=6006, width=None, height=800, scrolling
         </script>
     """
 
-    #args_string = f"--logdir {logdir} --port {port}"
-    args_string = f"--logdir {logdir} --host localhost"
+    args_string = f"--logdir {logdir} --port {port}"
+    #args_string = f"--logdir {logdir} --host localhost"
     parsed_args = shlex.split(args_string, comments=True, posix=True)
     start_result = manager.start(parsed_args)