Programmatically access tfevents file from huggingface hub repo

app.py

@@ -3,6 +3,7 @@ from transformers import pipeline, AutoTokenizer, AutoModel, BertForSequenceClas
 from peft.auto import AutoPeftModelForSequenceClassification
 from tensorboard.backend.event_processing import event_accumulator
 from peft import PeftModel
+from huggingface_hub import hf_hub_download
 import plotly.express as px
 import pandas as pd
 
@@ -101,7 +102,8 @@ def displayMetricStatsText():
     return metrics
 
 def displayMetricStatsTextTCLora():
-    file_name = 'events.out.tfevents.distilbertSA-LORA.0'
+    #file_name = 'events.out.tfevents.distilbertSA-LORA.0'
+    file_name = hf_hub_download(repo_id="Intradiction/BERT-SA-LORA", filename="runs/Mar16_18-10-29_INTRADICTION/events.out.tfevents.1710627034.INTRADICTION.31644.0")
     event_acc = event_accumulator.EventAccumulator(file_name,
     size_guidance={
     event_accumulator.COMPRESSED_HISTOGRAMS: 500,