Update app.py

app.py

@@ -1,24 +1,21 @@
 import gradio as gr
-import torch
 from transformers import pipeline
 
-# Load Whisper model from Hugging Face
-asr = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if torch.cuda.is_available() else -1)
+# Load Whisper ASR pipeline
+asr = pipeline("automatic-speech-recognition", model="openai/whisper-base")
 
-# Function to transcribe audio
+# Transcription function
 def transcribe(audio):
-    print("Received audio input.")
-    text = asr(audio)["text"]
-    return text
+    return asr(audio)["text"]
 
-# Create Gradio Interface
-demo = gr.Interface(
+# Gradio interface
+interface = gr.Interface(
     fn=transcribe,
-    inputs=gr.Audio(source="microphone", type="filepath"),
+    inputs=gr.Audio(type="filepath", label="Upload or Record Audio"),
     outputs="text",
-    title="🎙️ Whisper Voice Recognition",
-    description="Speak into your mic and get real-time transcription using OpenAI's Whisper ASR."
+    title="Whisper ASR Voice Recognition",
+    description="Transcribe speech using OpenAI's Whisper model."
 )
 
 # Launch the app
-demo.launch()
+interface.launch()