Update app.py

app.py

@@ -4,21 +4,18 @@ from transformers import pipeline
 # Load the Whisper model for speech recognition
 model = pipeline("automatic-speech-recognition", model="openai/whisper-medium")
 
-def transcribe_audio(audio_file, language="english"):
-    # Transcribe the audio file
-    transcription = model(audio_file, generate_kwargs={"language": language})
+def transcribe_audio(audio_file):
+    # Transcribe the audio file and automatically detect the language
+    transcription = model(audio_file)
     return transcription["text"]
 
 # Define the Gradio interface
 iface = gr.Interface(
     fn=transcribe_audio,
-    inputs=[
-        gr.Audio(type="filepath", label="Upload Audio File"),
-        gr.Dropdown(choices=["english", "spanish", "french", "german", "chinese", "japanese", "korean", "hindi"], label="Select Language", value="english")
-    ],
+    inputs=gr.Audio(type="filepath", label="Upload Audio File"),
     outputs=gr.Textbox(label="Transcription"),
-    title="Multi-Language Audio Transcription",
-    description="Upload an audio file and select the language to transcribe it."
+    title="Automatic Language Detection & Audio Transcription",
+    description="Upload an audio file, and the system will automatically detect the language and transcribe it."
 )
 
 # Launch the Gradio interface