OCR-Translator / demo_app.py
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import gradio as gr
import soundfile as sf
import numpy as np
import tempfile
import os
# Define the file path of the audio file you want to play directly
direct_audio_file_path = "Audio/translated_audio.wav" # Replace this with the actual file path
# Function to handle audio streaming
def audio_streaming(audio=None):
# If an audio file is provided as input, use it; otherwise, use the direct file path
if audio is None:
audio = direct_audio_file_path
# Load the audio file
data, samplerate = sf.read(audio)
# Ensure data is in float32 format
data = np.array(data, dtype=np.float32)
# Save to a temporary file that Gradio can use for audio playback
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
sf.write(tmp_file.name, data, samplerate)
temp_audio_path = tmp_file.name
# Return the file path to Gradio
return temp_audio_path
# Gradio interface
with gr.Blocks() as demo:
gr.Markdown("### Audio Streaming App")
# Button to play audio from the predefined file path
play_button = gr.Button("Play Direct Audio")
# Define output for streamed audio
audio_output = gr.Audio(label="Streamed Audio")
# Set up the Gradio interface to handle the button click
play_button.click(
fn=audio_streaming,
inputs=None, # No input needed for direct play
outputs=audio_output
)
if __name__ == "__main__":
demo.launch()