Commit
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75d178b
1
Parent(s):
37335e4
Update app.py
Browse files
app.py
CHANGED
@@ -1,22 +1,19 @@
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import gradio as gr
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from PIL import Image
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import clipGPT
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import skimage.io as io
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import PIL.Image
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# Define model loading functions (if needed)
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def load_model_1(): # CLIP-GPT2
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# Load model components here if necessary
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return None
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# ... load_model_2(), load_model_3() - Define if and when needed
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# Caption generation functions
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def generate_caption_clipgpt(image):
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caption = clipGPT.generate_caption_clipgpt(image)
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return caption
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# Sample image paths
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sample_images = [
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"CXR195_IM-0618-1001.png"
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]
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def load_image(path):
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return Image.open(path)
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# Gradio interface
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with gr.Blocks() as demo:
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with gr.Row():
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image = gr.Image(label="Upload Chest X-ray")
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sample_images_gallery = gr.Gallery(
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label="Sample Images",
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)
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with gr.Row():
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@@ -45,9 +39,9 @@ with gr.Blocks() as demo:
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def predict(img, model_name):
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if model_name == "CLIP-GPT2":
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print(img)
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return generate_caption_clipgpt(img)
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else:
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return "Caption generation for this model is not yet implemented."
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import gradio as gr
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from PIL import Image
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import clipGPT
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import vitGPT
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import skimage.io as io
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import PIL.Image
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# Caption generation functions
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def generate_caption_clipgpt(image):
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caption = clipGPT.generate_caption_clipgpt(image)
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return caption
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def generate_caption_vitgpt(image):
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caption = vitGPT.generate_caption(image)
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return caption
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# Sample image paths
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sample_images = [
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"CXR195_IM-0618-1001.png"
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]
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# Gradio interface
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with gr.Blocks() as demo:
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with gr.Row():
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image = gr.Image(label="Upload Chest X-ray")
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sample_images_gallery = gr.Gallery(
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sample_images,
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label="Sample Images",
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)
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with gr.Row():
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def predict(img, model_name):
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if model_name == "CLIP-GPT2":
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return generate_caption_clipgpt(img)
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elif model_name == "ViT-GPT2":
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return generate_caption_vitgpt(img)
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else:
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return "Caption generation for this model is not yet implemented."
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