Update app.py

app.py

@@ -2,7 +2,10 @@ import evaluate
 from evaluate.utils import launch_gradio_widget
 import gradio as gr
 from transformers import AutoModelForSequenceClassification, pipeline, RobertaForSequenceClassification, RobertaTokenizer, AutoTokenizer
- 
+import tempfile
+
+tmp = tempfile.NamedTemporaryFile()
+
  
 # Define the list of available models
 available_models = {
@@ -20,7 +23,7 @@ def classify_toxicity(audio_file, text_file, selected_model):
  # Extract the transcribed text
  transcribed_text = transcription_results["transcription"]
  else:
- with open(text_file) as f:
+ with open(tmp.text_file) as f:
  for line in f:
  transcribed_text.append(line)