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Runtime error
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179180d
1
Parent(s):
a1ed4e4
reorder inputs
Browse files
app.py
CHANGED
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@@ -85,17 +85,17 @@ def video_text_zeroshot(video, text_list):
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def inference(
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task,
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image=None,
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audio=None,
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video=None,
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-
text_list=None,
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):
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if task == "image-text":
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result = image_text_zeroshot(image, text_list)
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elif task == "audio-text":
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result = audio_text_zeroshot(audio, text_list)
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elif task == "video-text":
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result =
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else:
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raise NotImplementedError
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return result
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@@ -113,10 +113,10 @@ def main():
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default="image-text",
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label="Task",
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),
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gr.inputs.Image(type="filepath", label="Input image"),
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gr.inputs.Audio(type="filepath", label="Input audio"),
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gr.inputs.Video(type="filepath", label="Input video"),
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gr.inputs.Textbox(lines=1, label="Candidate texts"),
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]
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iface = gr.Interface(
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@@ -124,10 +124,10 @@ def main():
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inputs,
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"label",
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examples=[
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["image-text", "assets/dog_image.jpg", None, None
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["image-text", "assets/car_image.jpg", None, None
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["audio-text", None, "assets/bird_audio.wav", None
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["video-text", None, "assets/dog_video.mp4", None
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],
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description="""<p>This is a simple demo of ImageBind for zero-shot cross-modal understanding (now including image classification, audio classification, and video classification). Please refer to the original <a href='https://arxiv.org/abs/2305.05665' target='_blank'>paper</a> and <a href='https://github.com/facebookresearch/ImageBind' target='_blank'>repo</a> for more details.<br>
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To test your own cases, you can upload an image, an audio or a video, and provide the candidate texts separated by "|".<br>
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def inference(
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task,
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+
text_list=None,
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image=None,
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audio=None,
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video=None,
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):
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if task == "image-text":
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result = image_text_zeroshot(image, text_list)
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elif task == "audio-text":
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result = audio_text_zeroshot(audio, text_list)
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elif task == "video-text":
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result = video_text_zeroshot(video, text_list)
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else:
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raise NotImplementedError
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return result
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default="image-text",
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label="Task",
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),
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+
gr.inputs.Textbox(lines=1, label="Candidate texts"),
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gr.inputs.Image(type="filepath", label="Input image"),
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gr.inputs.Audio(type="filepath", label="Input audio"),
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gr.inputs.Video(type="filepath", label="Input video"),
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]
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iface = gr.Interface(
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inputs,
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"label",
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examples=[
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["image-text", "A dog|A car|A bird", "assets/dog_image.jpg", None, None],
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["image-text", "A dog|A car|A bird", "assets/car_image.jpg", None, None],
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["audio-text", "A dog|A car|A bird", None, "assets/bird_audio.wav", None],
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["video-text", "A dog|A car|A bird", None, "assets/dog_video.mp4", None],
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],
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description="""<p>This is a simple demo of ImageBind for zero-shot cross-modal understanding (now including image classification, audio classification, and video classification). Please refer to the original <a href='https://arxiv.org/abs/2305.05665' target='_blank'>paper</a> and <a href='https://github.com/facebookresearch/ImageBind' target='_blank'>repo</a> for more details.<br>
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To test your own cases, you can upload an image, an audio or a video, and provide the candidate texts separated by "|".<br>
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