Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -11,6 +11,7 @@ from transformers import (
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Qwen2_5_VLForConditionalGeneration,
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Qwen2VLForConditionalGeneration,
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Glm4vForConditionalGeneration,
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AutoProcessor,
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TextIteratorStreamer,
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)
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@@ -61,6 +62,15 @@ model_s = Glm4vForConditionalGeneration.from_pretrained(
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torch_dtype=torch.float16
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).to(device).eval()
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def downsample_video(video_path):
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"""
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Downsample a video to evenly spaced frames, returning each as a PIL image with its timestamp.
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@@ -103,6 +113,9 @@ def generate_image(model_name: str, text: str, image: Image.Image,
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elif model_name == "GLM-4.1V-9B-Thinking":
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processor = processor_s
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model = model_s
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else:
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yield "Invalid model selected.", "Invalid model selected."
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return
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@@ -159,6 +172,9 @@ def generate_video(model_name: str, text: str, video_path: str,
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elif model_name == "GLM-4.1V-9B-Thinking":
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processor = processor_s
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model = model_s
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else:
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yield "Invalid model selected.", "Invalid model selected."
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return
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@@ -273,7 +289,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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markdown_output = gr.Markdown(label="(Result.md)")
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model_choice = gr.Radio(
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choices=["Camel-Doc-OCR-062825", "GLM-4.1V-9B-Thinking", "Megalodon-OCR-Sync-0713", "MonkeyOCR-pro-1.2B"],
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label="Select Model",
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value="Camel-Doc-OCR-062825"
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)
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Qwen2_5_VLForConditionalGeneration,
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Qwen2VLForConditionalGeneration,
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Glm4vForConditionalGeneration,
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AutoModelForVision2Seq,
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AutoProcessor,
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TextIteratorStreamer,
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)
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torch_dtype=torch.float16
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).to(device).eval()
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# Load kanana-1.5-v-3b-instruct
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MODEL_ID_F = "kakaocorp/kanana-1.5-v-3b-instruct"
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processor_f = AutoProcessor.from_pretrained(MODEL_ID_F, trust_remote_code=True)
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model_f = AutoModelForVision2Seq.from_pretrained(
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MODEL_ID_F,
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trust_remote_code=True,
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torch_dtype=torch.float16
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).to(device).eval()
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def downsample_video(video_path):
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"""
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Downsample a video to evenly spaced frames, returning each as a PIL image with its timestamp.
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elif model_name == "GLM-4.1V-9B-Thinking":
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processor = processor_s
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model = model_s
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elif model_name == "kanana-1.5-v-3b":
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processor = processor_f
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model = model_f
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else:
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yield "Invalid model selected.", "Invalid model selected."
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return
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elif model_name == "GLM-4.1V-9B-Thinking":
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processor = processor_s
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model = model_s
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elif model_name == "kanana-1.5-v-3b":
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processor = processor_f
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model = model_f
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else:
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yield "Invalid model selected.", "Invalid model selected."
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return
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markdown_output = gr.Markdown(label="(Result.md)")
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model_choice = gr.Radio(
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choices=["Camel-Doc-OCR-062825", "GLM-4.1V-9B-Thinking", "Megalodon-OCR-Sync-0713", "MonkeyOCR-pro-1.2B", "kanana-1.5-v-3b"],
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label="Select Model",
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value="Camel-Doc-OCR-062825"
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)
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