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Update app.py
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app.py
CHANGED
@@ -24,7 +24,11 @@ def get_caption(img):
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# img_model = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
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img_model = DiffusionPipeline.from_pretrained("Linaqruf/anything-v3.0")
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def get_img(prompt):
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demo = gr.Blocks()
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with demo:
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@@ -36,8 +40,8 @@ with demo:
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sum_btn.click(get_summary, sum_input, sum_output)
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with gr.Tab("Named Entity Recognition"):
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ner_input = [gr.Textbox(label="Text to find Entities", placeholder = "Enter text...", lines = 4)]
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ner_output = [gr.HighlightedText(label="Text with entities")]
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ner_btn = gr.Button("Generate entities")
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ner_btn.click(get_ner, ner_input, ner_output)
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with gr.Tab("Image Captioning"):
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cap_input = [gr.Image(label="Upload Image", type="pil")]
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# img_model = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
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img_model = DiffusionPipeline.from_pretrained("Linaqruf/anything-v3.0")
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def get_img(prompt):
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print("Here inside")
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img = img_model(prompt)
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print("Generated")
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return img.images[0]
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demo = gr.Blocks()
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with demo:
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sum_btn.click(get_summary, sum_input, sum_output)
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with gr.Tab("Named Entity Recognition"):
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ner_input = [gr.Textbox(label="Text to find Entities", placeholder = "Enter text...", lines = 4)]
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ner_btn = gr.Button("Generate entities")
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ner_output = [gr.HighlightedText(label="Text with entities")]
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ner_btn.click(get_ner, ner_input, ner_output)
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with gr.Tab("Image Captioning"):
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cap_input = [gr.Image(label="Upload Image", type="pil")]
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