Update app.py

app.py

@@ -11,6 +11,41 @@ def classify_sentiment(audio, model):
 input_audio = [gr.inputs.Audio(source="microphone", type="filepath", label="Record/ Drop audio"), gr.inputs.Dropdown(["DrishtiSharma/wav2vec2-base-finetuned-sentiment-mesd-v11", "hackathon-pln-es/wav2vec2-base-finetuned-sentiment-mesd"], label="Model Name")]
 label = gr.outputs.Label(num_top_classes=5)
 
+################### Gradio Web APP ################################
+
+title = "Audio Sentiment Classifier"
+
+description = """
+<p>
+<center>
+This application classifies the sentiment of the audio input provided by the user. 
+</center>
+</p>
+<center>
+<img src="https://huggingface.co/spaces/hackathon-pln-es/Audio-Sentiment-Classifier/tree/main/sentiment.PNG" alt="logo" width="550"/>
+</center>
+"""
+
+
+
+gr.Interface(
+    fn=transcribe, 
+    inputs=[
+        gr.inputs.Audio(source="microphone", type="filepath"), 
+        "state"
+    ],
+    outputs=[
+        "textbox",
+        "state"
+    ],
+    title=title,
+    description=description,
+    article=article,
+    live=True).launch()
+
+
+
+
 gr.Interface(
     fn = classify_sentiment,
     inputs = input_audio,