Update app.py

app.py

@@ -14,7 +14,7 @@ available_models = {
  
  
 # Create a Gradio interface with audio file and text inputs
-def classify_toxicity(audio_file, text_file, selected_model):
+def classify_toxicity(audio_file, text_input, selected_model):
     # Transcribe the audio file using Whisper ASR
     if audio_file != None:
         whisper_module = evaluate.load("whisper")
@@ -23,9 +23,7 @@ def classify_toxicity(audio_file, text_file, selected_model):
         # Extract the transcribed text
         transcribed_text = transcription_results["transcription"]
     else:
-        with open(tmp.text_file) as f:
-            for line in f:
-                transcribed_text.append(line)
+        transcribed_text = text_input
  
     # Load the selected toxicity classification model
     toxicity_module = evaluate.load("toxicity", selected_model)
@@ -38,7 +36,7 @@ def classify_toxicity(audio_file, text_file, selected_model):
 iface = gr.Interface(
     fn=classify_toxicity,
     inputs=[
-        gr.Audio(source="upload", type="filepath", label="Upload Audio File"), gr.File(label="Upload Text File"),
+        gr.Audio(source="upload", type="filepath", label="Upload Audio File"), text,
         gr.Radio(available_models, type="value", label="Select Model")
     ],
     outputs="text",