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app.py
CHANGED
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@@ -20,11 +20,16 @@ examples = [
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]
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title = "Upword - Models Competition"
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description = "This demo compares [BART-Large-CNN](https://huggingface.co/facebook/bart-large-cnn) and [Flan-T5-
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url = os.environ["url"]
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token = os.environ["token"]
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def inference(text):
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headers = {"Authorization": f"Bearer {token}"}
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@@ -36,9 +41,12 @@ def inference(text):
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"do_sample": False
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}
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}
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return [output_flan, output_vanilla]
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@@ -46,8 +54,8 @@ io = gr.Interface(
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inference,
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gr.Textbox(lines=3),
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outputs=[
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gr.Textbox(lines=3, label="Flan T5"),
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gr.Textbox(lines=3, label="
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],
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title=title,
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description=description,
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]
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title = "Upword - Models Competition"
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description = "This demo compares [BART-Large-CNN](https://huggingface.co/facebook/bart-large-cnn) and [Flan-T5-XXL](https://huggingface.co/google/flan-t5-xxl)."
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token = os.environ["token"]
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urls = {
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'flan-t5': os.environ["url"],
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# 'flan-t5': "https://api-inference.huggingface.co/models/philschmid/flan-t5-xxl-sharded-fp16",
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'bart-large-cnn': "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
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}
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def inference(text):
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headers = {"Authorization": f"Bearer {token}"}
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"do_sample": False
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}
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}
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responses = dict()
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for model, url in urls.items():
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responses[model] = requests.post(url, headers=headers, json=payload)
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output_flan = responses['flan-t5'].json()[0]['generated_text']
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output_vanilla = responses['bart-large-cnn'].json()[0]['summary_text']
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return [output_flan, output_vanilla]
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inference,
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gr.Textbox(lines=3),
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outputs=[
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gr.Textbox(lines=3, label="Flan T5-XXL"),
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gr.Textbox(lines=3, label="BART-Large-CNN")
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],
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title=title,
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description=description,
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