Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -17,6 +17,7 @@ from transformers import (
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Qwen2_5_VLForConditionalGeneration,
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Qwen2VLForConditionalGeneration,
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Gemma3ForConditionalGeneration,
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AutoProcessor,
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TextIteratorStreamer,
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)
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@@ -48,9 +49,9 @@ model_x = Qwen2VLForConditionalGeneration.from_pretrained(
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).to(device).eval()
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# Load Relaxed
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MODEL_ID_Z = "
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processor_z = AutoProcessor.from_pretrained(MODEL_ID_Z, trust_remote_code=True)
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model_z =
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MODEL_ID_Z,
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trust_remote_code=True,
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torch_dtype=torch.float16
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@@ -93,7 +94,7 @@ def generate_image(model_name: str, text: str, image: Image.Image,
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elif model_name == "coreOCR-7B-050325-preview":
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processor = processor_x
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model = model_x
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-
elif model_name == "
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processor = processor_z
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model = model_z
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else:
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@@ -146,7 +147,7 @@ def generate_video(model_name: str, text: str, video_path: str,
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elif model_name == "coreOCR-7B-050325-preview":
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processor = processor_x
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model = model_x
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-
elif model_name == "
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processor = processor_z
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model = model_z
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else:
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@@ -246,7 +247,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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with gr.Column():
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output = gr.Textbox(label="Output", interactive=False, lines=2, scale=2)
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model_choice = gr.Radio(
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choices=["gemma-3-4b-it", "coreOCR-7B-050325-preview", "
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label="Select Model",
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value="gemma-3-4b-it"
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)
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Qwen2_5_VLForConditionalGeneration,
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Qwen2VLForConditionalGeneration,
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Gemma3ForConditionalGeneration,
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LlavaForConditionalGeneration,
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AutoProcessor,
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TextIteratorStreamer,
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)
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).to(device).eval()
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# Load Relaxed
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MODEL_ID_Z = "fancyfeast/llama-joycaption-beta-one-hf-llava"
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processor_z = AutoProcessor.from_pretrained(MODEL_ID_Z, trust_remote_code=True)
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model_z = LlavaForConditionalGeneration.from_pretrained(
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MODEL_ID_Z,
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trust_remote_code=True,
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torch_dtype=torch.float16
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elif model_name == "coreOCR-7B-050325-preview":
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processor = processor_x
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model = model_x
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elif model_name == "llama-joycaption":
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processor = processor_z
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model = model_z
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else:
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elif model_name == "coreOCR-7B-050325-preview":
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processor = processor_x
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model = model_x
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elif model_name == "llama-joycaption":
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processor = processor_z
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model = model_z
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else:
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with gr.Column():
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output = gr.Textbox(label="Output", interactive=False, lines=2, scale=2)
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model_choice = gr.Radio(
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choices=["gemma-3-4b-it", "coreOCR-7B-050325-preview", "llama-joycaption"],
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label="Select Model",
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value="gemma-3-4b-it"
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)
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