Spaces:
Running
on
Zero
Running
on
Zero
Update chatbot.py
Browse files- chatbot.py +3 -3
chatbot.py
CHANGED
@@ -27,14 +27,14 @@ import io # Add this import for working with image bytes
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# You can also use models that are commented below
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# model_id = "llava-hf/llava-interleave-qwen-0.5b-hf"
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model_id = "llava-hf/llava-interleave-qwen-7b-hf"
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-
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processor = LlavaProcessor.from_pretrained(model_id)
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model = LlavaForConditionalGeneration.from_pretrained(model_id, torch_dtype=torch.float16, use_flash_attention_2=True, low_cpu_mem_usage=True)
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model.to("cuda")
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# Credit to merve for code of llava interleave qwen
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def sample_frames(video_file
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try:
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video = cv2.VideoCapture(video_file)
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total_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
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# You can also use models that are commented below
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# model_id = "llava-hf/llava-interleave-qwen-0.5b-hf"
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# model_id = "llava-hf/llava-interleave-qwen-7b-hf"
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model_id = "llava-hf/llava-interleave-qwen-7b-dpo-hf"
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processor = LlavaProcessor.from_pretrained(model_id)
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model = LlavaForConditionalGeneration.from_pretrained(model_id, torch_dtype=torch.float16, use_flash_attention_2=True, low_cpu_mem_usage=True)
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model.to("cuda")
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# Credit to merve for code of llava interleave qwen
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+
def sample_frames(video_file) :
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try:
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video = cv2.VideoCapture(video_file)
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total_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
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