Update app.py

app.py

@@ -1,5 +1,19 @@
 import gradio as gr
+from transformers import pipeline
 
+pipe = pipeline(model="hackathon-pln-es/wav2vec2-base-finetuned-sentiment-mesd")
 
+def classify_sentiment(audio):
+  sentiment_classifier = pipe(audio)
+  return sentiment_classifier
 
-gr.Interface.load("huggingface/DrishtiSharma/wav2vec2-base-finetuned-sentiment-mesd-v11",theme="huggingface").launch()
+
+input_audio = gr.inputs.Audio(source="microphone", type="filepath", optional=True, label="Please record your voice")
+label = gr.outputs.Label(num_top_classes=5)
+
+gr.Interface(
+    fn = classify_sentiment,
+    inputs = input_audio,
+    outputs = label,
+    examples=[["images/cheetah1.jpg"], ["images/lion.jpg"]],
+    theme="grass").launch()