Update app.py

app.py

@@ -2,13 +2,14 @@
 import gradio as gr
 from transformers import pipeline
 
-
+Model_1 = "hackathon-pln-es/wav2vec2-base-finetuned-sentiment-classification-MESD"
+Model_2 ="hackathon-pln-es/wav2vec2-base-finetuned-sentiment-mesd"
 def classify_sentiment(audio, model):
   pipe = pipeline("audio-classification", model=model)
   pred = pipe(audio)
   return {dic["label"]: dic["score"] for dic in pred}
 
-input_audio = [gr.inputs.Audio(source="microphone", type="filepath", label="Record/ Drop audio"), gr.inputs.Dropdown(["hackathon-pln-es/wav2vec2-base-finetuned-sentiment-classification-MESD", "hackathon-pln-es/wav2vec2-base-finetuned-sentiment-mesd"], label="Model Name")]
+input_audio = [gr.inputs.Audio(source="microphone", type="filepath", label="Record/ Drop audio"), gr.inputs.Dropdown([Model_1, Model_2], label="Model Name")]
 label = gr.outputs.Label(num_top_classes=5)
 
 ################### Gradio Web APP ################################