Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -4,14 +4,14 @@ import subprocess
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import tempfile
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from glob import glob
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def run_inference(image_input, audio_input
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# Create a temporary folder for downloaded and processed images
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temp_dir = tempfile.mkdtemp()
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try:
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#
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[
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"python", "inference.py",
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"--config", "configs/inference.yaml",
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@@ -19,29 +19,17 @@ def run_inference(image_input, audio_input, progress=gr.Progress(track_tqdm=True
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"--input_audio", audio_input,
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"--output_dir", temp_dir,
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],
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stderr=subprocess.PIPE, # Capture standard error
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text=True, # Decode output to text (instead of bytes)
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)
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#
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for line in process.stdout:
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print(line, end="") # Print logs to the console (or handle them as needed)
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# Wait for the subprocess to finish and check for errors
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process.wait()
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if process.returncode != 0:
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error_message = process.stderr.read()
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raise gr.Error(f"Inference failed with error: {error_message}")
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# Collect the output video
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output_video = glob(os.path.join(temp_dir, "*.mp4"))
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return output_video[0]
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except Exception as e:
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raise gr.Error(f"Error during inference: {str(e)}")
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with gr.Blocks() as demo:
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with gr.Column():
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gr.Markdown("# MEMO")
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import tempfile
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from glob import glob
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def run_inference(image_input, audio_input):
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# Create a temporary folder for downloaded and processed images
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temp_dir = tempfile.mkdtemp()
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try:
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# Run the inference command
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subprocess.run(
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[
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"python", "inference.py",
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"--config", "configs/inference.yaml",
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"--input_audio", audio_input,
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"--output_dir", temp_dir,
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],
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check=True
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)
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# Collect the output images
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output_video = glob(os.path.join(temp_dir, "*.mp4"))
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return output_video[0]
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except subprocess.CalledProcessError as e:
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raise gr.Error(f"Error during inference: {str(e)}")
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+
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with gr.Blocks() as demo:
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with gr.Column():
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gr.Markdown("# MEMO")
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