Update app.py

app.py

@@ -8,7 +8,7 @@ stt_pipeline = pipeline("automatic-speech-recognition", model=model_name)
 def transcribe(audio_path):
     """Transcribe speech to text using Whisper."""
     if audio_path is None:
-        return "⚠️ Please upload an audio file."
+        return "⚠️ Please upload or record an audio file."
     
     try:
         # Pass the file path directly to the Whisper pipeline
@@ -24,13 +24,13 @@ with gr.Blocks(theme="default") as demo:
     gr.Markdown(
         """
         # 🎤 **Whisper Speech-to-Text**
-        **Upload an audio file** and this tool will convert your speech into text using **AventIQ-AI Whisper Model**.  
+        **Upload or record an audio file** and this tool will convert your speech into text using **AventIQ-AI Whisper Model**.  
         Supports **MP3, WAV, FLAC** formats.
         """
     )
 
     with gr.Row():
-        audio_input = gr.File(label="🎙️ Upload an Audio File", type="filepath")  # Corrected `type`
+        audio_input = gr.Audio(type="filepath", label="🎙️ Upload or Record Your Voice")
     
     transcribed_text = gr.Textbox(label="📝 Transcription", interactive=False)