Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -21,7 +21,6 @@ from transformers import (
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TextIteratorStreamer,
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)
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from transformers import Blip2Processor, Blip2ForConditionalGeneration
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from transformers.image_utils import load_image
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# Constants for text generation
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@@ -49,10 +48,10 @@ model_z = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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torch_dtype=torch.float16
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).to(device).eval()
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# Load
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MODEL_ID_K = "
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processor_k =
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model_k =
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MODEL_ID_K,
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trust_remote_code=True,
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torch_dtype=torch.float16
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@@ -95,7 +94,7 @@ def generate_image(model_name: str, text: str, image: Image.Image,
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elif model_name == "SpaceThinker-3B":
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processor = processor_z
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model = model_z
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elif model_name == "
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processor = processor_k
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model = model_k
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else:
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@@ -148,7 +147,7 @@ def generate_video(model_name: str, text: str, video_path: str,
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elif model_name == "SpaceThinker-3B":
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processor = processor_z
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model = model_z
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elif model_name == "
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processor = processor_k
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model = model_k
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else:
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@@ -251,7 +250,7 @@ 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=["SkyCaptioner-V1", "SpaceThinker-3B", "
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label="Select Model",
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value="SkyCaptioner-V1"
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)
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TextIteratorStreamer,
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)
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from transformers.image_utils import load_image
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# Constants for text generation
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torch_dtype=torch.float16
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).to(device).eval()
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# Load coreOCR-7B-050325-preview
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MODEL_ID_K = "prithivMLmods/coreOCR-7B-050325-preview"
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processor_k = AutoProcessor.from_pretrained(MODEL_ID_K, trust_remote_code=True)
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model_k = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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MODEL_ID_K,
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trust_remote_code=True,
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torch_dtype=torch.float16
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elif model_name == "SpaceThinker-3B":
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processor = processor_z
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model = model_z
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elif model_name == "coreOCR-7B-050325-preview":
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processor = processor_k
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model = model_k
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else:
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elif model_name == "SpaceThinker-3B":
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processor = processor_z
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model = model_z
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elif model_name == "coreOCR-7B-050325-preview":
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processor = processor_k
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model = model_k
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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=["SkyCaptioner-V1", "SpaceThinker-3B", "coreOCR-7B-050325-preview"],
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label="Select Model",
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value="SkyCaptioner-V1"
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)
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