Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -12,6 +12,7 @@ import torch
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import numpy as np
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from PIL import Image
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import cv2
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from transformers import (
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Qwen2VLForConditionalGeneration,
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@@ -65,6 +66,15 @@ model_j = Qwen2_5_VLForConditionalGeneration.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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Downsamples the video to evenly spaced frames.
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@@ -108,6 +118,9 @@ def generate_image(model_name: str, text: str, image: Image.Image,
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elif model_name == "Lumian-VLR-7B-Thinking":
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processor = processor_j
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model = model_j
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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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@@ -164,6 +177,9 @@ def generate_video(model_name: str, text: str, video_path: str,
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elif model_name == "Lumian-VLR-7B-Thinking":
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processor = processor_j
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model = model_j
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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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@@ -286,7 +302,7 @@ 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=["Lumian-VLR-7B-Thinking", "DREX-062225-7B-exp", "olmOCR-7B-0225-preview", "Typhoon-OCR-3B"],
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label="Select Model",
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value="Lumian-VLR-7B-Thinking"
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)
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import numpy as np
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from PIL import Image
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import cv2
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import requests
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from transformers import (
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Qwen2VLForConditionalGeneration,
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torch_dtype=torch.float16
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).to(device).eval()
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# Load medgemma-4b-it
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MODEL_ID_F = "google/medgemma-4b-it"
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processor_f = AutoProcessor.from_pretrained(MODEL_ID_F, trust_remote_code=True)
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model_f = AutoModelForImageTextToText.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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Downsamples the video to evenly spaced frames.
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elif model_name == "Lumian-VLR-7B-Thinking":
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processor = processor_j
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model = model_j
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elif model_name == "medgemma-4b-it":
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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 == "Lumian-VLR-7B-Thinking":
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processor = processor_j
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model = model_j
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elif model_name == "medgemma-4b-it":
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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=["Lumian-VLR-7B-Thinking", "DREX-062225-7B-exp", "olmOCR-7B-0225-preview", "medgemma-4b-it", "Typhoon-OCR-3B"],
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label="Select Model",
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value="Lumian-VLR-7B-Thinking"
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)
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