Create app.py

app.py

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+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)
+
+# Function to transcribe audio
+def transcribe(audio):
+    print("Received audio input.")
+    text = asr(audio)["text"]
+    return text
+
+# Create Gradio Interface
+demo = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(source="microphone", type="filepath"),
+    outputs="text",
+    title="🎙️ Whisper Voice Recognition",
+    description="Speak into your mic and get real-time transcription using OpenAI's Whisper ASR."
+)
+
+# Launch the app
+demo.launch()