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Update app.py
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app.py
CHANGED
@@ -6,28 +6,49 @@ import ffmpeg
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# Atur tema Gradio
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gr.themes.Soft()
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# Format gambar yang didukung
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supported_formats = sorted(Image.SAVE.keys()) or ['BLP', 'BMP', 'BUFR', 'DDS', 'DIB', 'EPS',
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'GIF', 'GRIB', 'HDF5', 'ICNS', 'ICO', 'IM',
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'JPEG', 'JPEG2000', 'MPO', 'MSP', 'PALM', 'PCX',
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'PDF', 'PNG', 'PPM', 'SGI', 'SPIDER', 'TGA', 'TIFF']
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def convert_image_ffmpeg(image, target_format):
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try:
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#
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# Nama file keluaran dengan awalan yang diinginkan
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output_file = f"flowly_ai_image_converter_{base_name}.{target_format.lower()}"
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# Gunakan ffmpeg untuk konversi
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(
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ffmpeg
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.input(image)
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.output(output_file, format=target_format)
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.overwrite_output()
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.run(capture_stdout=True, capture_stderr=True)
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)
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return output_file
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except Exception as e:
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# Atur tema Gradio
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gr.themes.Soft()
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def delete_temp_dir(directory, delay=900): # 15 minutes = 900 seconds
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timer = threading.Timer(delay, shutil.rmtree, [directory])
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timer.start()
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# Format gambar yang didukung
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supported_formats = sorted(Image.SAVE.keys()) or ['BLP', 'BMP', 'BUFR', 'DDS', 'DIB', 'EPS',
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'GIF', 'GRIB', 'HDF5', 'ICNS', 'ICO', 'IM',
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'JPEG', 'JPEG2000', 'MPO', 'MSP', 'PALM', 'PCX',
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'PDF', 'PNG', 'PPM', 'SGI', 'SPIDER', 'TGA', 'TIFF']
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CACHE_DIR = tempfile.mkdtemp()
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delete_temp_dir(CACHE_DIR, delay=900) # Clean up cache after 15 minutes
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def sanitize_filename(filename):
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"""Sanitize filename by removing special characters and spaces."""
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return re.sub(r'[^a-zA-Z0-9_.-]', '_', filename)
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def clean_cache():
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"""Remove files in the cache directory older than 15 minutes."""
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now = time.time()
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for file in os.listdir(CACHE_DIR):
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file_path = os.path.join(CACHE_DIR, file)
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if os.path.isfile(file_path) and now - os.path.getmtime(file_path) > 900: # 15 minutes
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os.remove(file_path)
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def convert_image_ffmpeg(image, target_format):
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try:
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# Create a temporary directory for the uploaded file
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temp_dir = tempfile.mkdtemp()
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# Sanitize the filename and save the uploaded video to the temp directory
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base_name = os.path.splitext(os.path.basename(image.name))[0]
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sanitized_base_name = sanitize_filename(base_name)
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image_path = os.path.join(temp_dir, f"{sanitized_base_name}.png") # Saving as mp4 by default for now
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# Nama file keluaran dengan awalan yang diinginkan
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output_file = f"flowly_ai_image_converter_{base_name}.{target_format.lower()}"
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with open(image_path, "wb") as f:
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f.write(image.getbuffer()) # Save the uploaded video to a local file
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# Gunakan ffmpeg untuk konversi
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ffmpeg.input(image_path).output(output_file, format=target_format).overwrite_output().run(capture_stdout=True, capture_stderr=True)
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return output_file
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except Exception as e:
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