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| from newsapi import NewsApiClient | |
| from gradio_client import Client | |
| # example input: prompt = "Beautiful Sky with "Gradio is love" written over it" | |
| # defining a function to generate music using Gradio demo of TextDiffusers hosted on Spaces | |
| def generate_image(prompt: str) -> str: | |
| """ | |
| generate an image based on the prompt provided | |
| """ | |
| #client = Client("https://jingyechen22-textdiffuser.hf.space/") | |
| client = Client("https://ysharma-textdiffuser.hf.space/", hf_token="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") | |
| result = client.predict( | |
| prompt, # str in 'Input your prompt here. Please enclose keywords with 'single quotes', you may refer to the examples below. The current version only supports input in English characters.' Textbox component | |
| 20, # int | float (numeric value between 1 and 50) in 'Sampling step' Slider component | |
| 7.5, # int | float (numeric value between 1 and 9) in 'Scale of classifier-free guidance' Slider component | |
| 1, # int | float (numeric value between 1 and 4) in 'Batch size' Slider component | |
| "Stable Diffusion v2.1", # str in 'Pre-trained Model' Radio component | |
| fn_index=1) | |
| return result[0] | |
| # example input: input_image = "cat.jpg" | |
| # defining a function to generate caption using a image caption Gradio demo hosted on Spaces | |
| def generate_caption(input_image ): | |
| """ | |
| generate caption for the input image | |
| """ | |
| client = Client("https://nielsr-comparing-captioning-models.hf.space/") | |
| temp = input_image.split('/') | |
| if len(temp) == 1: | |
| input_image = temp[0] | |
| else: | |
| input_image = temp[-1] | |
| result = client.predict( | |
| input_image, | |
| api_name="/predict") | |
| result = "The image can have any one of the following captions, all captions are correct: " + ", or ".join([f"'{caption.replace('.','')}'" for caption in result]) | |
| return result | |
| # defining a function to get the most relevant world news for a given query | |
| # example query: Joe Biden presidency | |
| def get_news(search_query): | |
| """ | |
| get top three news items for your search query | |
| """ | |
| newsapi = NewsApiClient(api_key='8c50d2b3d80348a2a78be021b2c49cd1') | |
| docs = newsapi.get_everything(q=search_query, | |
| language='en', | |
| sort_by = 'relevancy', | |
| page_size=3, | |
| page=1 | |
| )['articles'] | |
| res = [news['description'] for news in docs] | |
| res = [item.replace('<li>','').replace('</li>','').replace('<ol>','') for item in res] | |
| res = "\n".join([f"{i}.{ res[i-1]}" for i in range(1,len(res)+1)]) | |
| return "Following list has the top three news items for the given search query : \n" + res | |