| import gradio as gr | |
| import os | |
| from pipe import process_audio_pipeline, AudioSpeechNERPipeline | |
| from huggingface_hub import login | |
| def create_gradio_interface(): | |
| # Create Gradio interface | |
| iface = gr.Interface( | |
| fn=process_audio_pipeline, | |
| inputs=gr.Audio(type="filepath", label="Upload Audio"), | |
| outputs=[ | |
| gr.Textbox(label="Transcription"), | |
| gr.Textbox(label="Named Entities") | |
| ], | |
| title="Uzbek Speech Recognition and Named Entity Recognition", | |
| description="Upload an Uzbek audio file (MP3 or WAV) to transcribe and extract named entities." | |
| ) | |
| return iface | |
| def main(): | |
| # Create and launch the Gradio interface | |
| demo = create_gradio_interface() | |
| demo.launch(share=True) | |
| if __name__ == "__main__": | |
| os.environ['HF_TOKEN'] = os.getenv("HUGGINGFACE_TOKEN") | |
| login() | |
| AudioSpeechNERPipeline() | |
| main() | |