Update app.py

app.py

@@ -96,7 +96,7 @@ def inference(
     elif task == "audio-text":
         result = audio_text_zeroshot(audio, text_list)
     elif task == "video-text":
-        result = video_text_zeroshot(image, text_list)
+        result = image_text_zeroshot(image, text_list)
     else:
         raise NotImplementedError
     return result
@@ -117,19 +117,13 @@ def main():
         gr.inputs.Textbox(lines=1, label="Candidate texts"),
         gr.inputs.Image(type="filepath", label="Input image"),
         gr.inputs.Audio(type="filepath", label="Input audio"),
-         gr.inputs.Image(type="filepath", label="Input image2"),
+        gr.inputs.Image(type="filepath", label="Input image2"),
     ]
 
     iface = gr.Interface(
         inference,
         inputs,
         "label",
-        examples=[
-            ["image-text", "A dog|A car|A bird", "assets/dog_image.jpg", None, None],
-            ["image-text", "A dog|A car|A bird", "assets/car_image.jpg", None, None],
-            ["audio-text", "A dog|A car|A bird",  None, "assets/bird_audio.wav", None],
-            ["video-text", "A dog|A car|A bird", None, None, "assets/dog_video.mp4"],
-        ],
         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>
                     To test your own cases, you can upload an image, an audio or a video, and provide the candidate texts separated by "|".<br>
                     You can duplicate this space and run it privately: <a href='https://huggingface.co/spaces/OFA-Sys/chinese-clip-zero-shot-image-classification?duplicate=true'><img src='https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14' alt='Duplicate Space'></a></p>""",