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| import os | |
| import io | |
| from IPython.display import Image, display, HTML | |
| from PIL import Image | |
| import base64 | |
| hf_api_key = os.environ["HF_API_KEY"] | |
| # Helper function | |
| import requests, json | |
| #Summarization endpoint | |
| def get_completion(inputs, parameters=None,ENDPOINT_URL= os.environ["API_URL"]): | |
| headers = { | |
| "Authorization": f"Bearer {hf_api_key}", | |
| "Content-Type": "application/json" | |
| } | |
| data = { "inputs": inputs } | |
| if parameters is not None: | |
| data.update({"parameters": parameters}) | |
| response = requests.request("POST", | |
| ENDPOINT_URL, headers=headers, | |
| data=json.dumps(data) | |
| ) | |
| return json.loads(response.content.decode("utf-8")) | |
| import gradio as gr | |
| def summarize(input): | |
| output = get_completion(input) | |
| return output[0]['summary_text'] | |
| gr.close_all() | |
| demo = gr.Interface(fn=summarize, | |
| inputs=[gr.Textbox(label = "Text to Summarize")], | |
| outputs=[gr.Textbox(label = "Result")], | |
| title="Text Summarizer with Distilbart-cnn", | |
| description= "Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!") | |
| demo.launch() |