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from speechbrain.pretrained.interfaces import foreign_class | |
import gradio as gr | |
import os | |
import warnings | |
warnings.filterwarnings("ignore") | |
# ... [rest of your code remains unchanged] ... | |
# Get the list of audio files for the dropdown | |
audio_files_list = get_audio_files_list() | |
# Function to return the selected audio file path | |
def get_audio_file_path(selected_audio): | |
file_path = os.path.join("rec", selected_audio) | |
return file_path | |
# Gradio components | |
dropdown = gr.Dropdown(label="Select Audio", choices=audio_files_list) | |
audio_player = gr.Audio(source="file", label="Listen to the selected audio") | |
# Update the audio player when a new selection is made from the dropdown | |
def update_audio(selected_audio): | |
return get_audio_file_path(selected_audio) | |
# Connect the dropdown to the audio player using the update_audio function | |
dropdown.change(fn=update_audio, inputs=dropdown, outputs=audio_player) | |
# Update the Gradio interface to use both the dropdown and the audio player as inputs | |
interface = gr.Interface( | |
fn=predict_emotion, | |
inputs=[dropdown, audio_player], | |
outputs="text", | |
title="ML Speech Emotion Detection", | |
description="Speechbrain powered wav2vec 2.0 pretrained model on IEMOCAP dataset using Gradio." | |
) | |
interface.launch() |