DIT_DL2_WAV2VEC2_BERT / demo_api_client.py
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import os
from gradio_client import Client, handle_file
# Define the target of the request
# client = Client("http://localhost:7860/") # For test in localhost
client = Client("jrmd/DIT_DL2_WAV2VEC2_BERT") # For online version of the app
# Use a raw string for the file path
audio_file_path = r"E:\00.Divers\DIT\04.Cours\M2\06.DS-DeepLearning2\Examen\Dev\id10012_0AXjxNXiEzo_00001.flac"
# Verify the file exists
if not os.path.exists(audio_file_path):
print(f"Error: The file '{audio_file_path}' does not exist. Please check the path.")
else:
print(f"File found: {audio_file_path}")
result = client.predict(input=handle_file(audio_file_path), api_name="/predict")
print(result)