create functions definitions

gpt_function_definitions.py

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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
+