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import requests, json |
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def get_completion(inputs, parameters=None,ENDPOINT_URL='https://api-inference.huggingface.co/models/DunnBC22/flan-t5-base-text_summarization_data'): |
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hf_api_key = "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" |
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headers = { |
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"Content-Type": "application/json" |
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} |
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data = { "inputs": inputs } |
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if parameters is not None: |
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data.update({"parameters": parameters}) |
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response = requests.request("POST", |
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ENDPOINT_URL, headers=headers, |
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data=json.dumps(data) |
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) |
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return json.loads(response.content.decode("utf-8")) |
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import gradio as gr |
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def summarize(input): |
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output = get_completion(input) |
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return output[0]['summary_text'] |
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gr.close_all() |
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demo = gr.Interface(fn=summarize, |
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inputs=[gr.Textbox(label="Text to summarize", lines=6)], |
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outputs=[gr.Textbox(label="Result", lines=3)], |
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title="Text summarization with distilbart-cnn", |
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description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!" |
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) |
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demo.launch(inline=False) |
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