Update app.py

app.py

@@ -1,21 +1,22 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load Wav2Vec 2.0 pipeline for automatic speech recognition
+# Load Wav2Vec 2.0 speech recognition model
 asr = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-960h")
 
-# Function to transcribe audio
+# Function to process audio and return transcribed text
 def transcribe(audio):
-    text = asr(audio)["text"]
-    return text
+    if audio is None:
+        return "No audio provided."
+    return asr(audio)["text"]
 
-# Gradio UI
+# Gradio Interface
 interface = gr.Interface(
     fn=transcribe,
-    inputs=gr.Audio(source="microphone", type="filepath", label="Record or Upload Audio"),
+    inputs=gr.Audio(type="filepath", label="Upload or Record Audio"),
     outputs=gr.Textbox(label="Transcribed Text"),
-    title="Wav2Vec 2.0 Speech-to-Text",
-    description="Speak or upload an audio file. The model will convert it to text using Wav2Vec2."
+    title="🎤 Wav2Vec 2.0 - Speech to Text",
+    description="Upload or record an audio file and get the transcribed text using Facebook's Wav2Vec 2.0."
 )
 
 interface.launch()