Delete app.py

app.py

@@ -1,87 +0,0 @@
-import gradio as gr
-import requests
-
-# GPT-J-6B API
-API_URL = "https://api-inference.huggingface.co/models/EleutherAI/gpt-j-6B"
-headers = {"Authorization": "Bearer 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"}
-prompt = """
-word: risk
-poem using word: And then the day came,
-when the risk
-to remain tight
-in a bud
-was more painful
-than the risk
-it took
-to blossom.
-
-word: bird
-poem using word: She sights a bird, she chuckles
-She flattens, then she crawls
-She runs without the look of feet
-Her eyes increase to Balls.
-
-word: """
-
-examples = [["river"], ["night"], ["trees"],["table"],["laughs"]]
-
-
-def poem_generate(word):
-
-  p = prompt + word.lower() + "\n" + "poem using word: "
-  print(f"*****Inside poem_generate - Prompt is :{p}")
-  json_ = {"inputs": p,
-            "parameters":
-            {
-            "top_p": 0.9,
-          "temperature": 1.1,
-          "max_new_tokens": 50,
-          "return_full_text": False
-          }}
-  response = requests.post(API_URL, headers=headers, json=json_)
-  output = response.json()
-  print(f"Was there an error? Reason is : {output}")
-  output_tmp = output[0]['generated_text']
-  print(f"GPTJ response without splits is: {output_tmp}")
-  #poem = output[0]['generated_text'].split("\n\n")[0] # +"."
-  if "\n\n" not in output_tmp:
-    if output_tmp.find('.') != -1:
-      idx = output_tmp.find('.')
-      poem = output_tmp[:idx+1]
-    else:
-      idx = output_tmp.rfind('\n')
-      poem = output_tmp[:idx]
-  else:
-    poem = output_tmp.split("\n\n")[0] # +"."
-  print(f"Poem being returned is: {poem}")
-  return poem
-
-def poem_to_image(poem):
-  print("*****Inside Poem_to_image")
-  poem = " ".join(poem.split('\n'))
-  poem = poem + " oil on canvas."
-  steps, width, height, images, diversity = '50','256','256','1',15
-  img = gr.Interface.load("spaces/multimodalart/latentdiffusion")(poem, steps, width, height, images, diversity)[0]
-  return img
-
-demo = gr.Blocks()
-
-with demo:
-  gr.Markdown("<h1><center>Generate Short Poem along with an Illustration</center></h1>")
-  gr.Markdown(
-        "<div>Enter a single word you would want GPTJ-6B to write Poetry 🎤 on.</div>"
-        "<div>Generate an illustration 🎨 provided by Latent Diffusion model.</div><div>GPJ-6B is a 6 Billion parameter autoregressive language model. It generates the Poem based on how it has been 'prompt-engineered' 🤗 The complete text of generated poem then goes in as a prompt to the amazing Latent Diffusion Art space by <a href='https://huggingface.co/spaces/multimodalart/latentdiffusion' target='_blank'>Multimodalart</a>.</div>Please note that some of the Poems/Illustrations might not look at par, and well, this is what happens when you can't 'cherry-pick' and post 😁 <div> Some of the example words that you can use are 'river', 'night', 'trees', 'table', 'laughs' or maybe on similar lines to get best results!"
-    )
-  with gr.Row():
-    input_word = gr.Textbox(placeholder="Enter a word here to create a Poem on..")
-    poem_txt = gr.Textbox(lines=7)
-    output_image = gr.Image(type="filepath", shape=(256,256))
-  
-  b1 = gr.Button("Generate Poem")
-  b2 = gr.Button("Generate Image")
-
-  b1.click(poem_generate, input_word, poem_txt)
-  b2.click(poem_to_image, poem_txt, output_image)
-  #examples=examples
-
-demo.launch(enable_queue=True, debug=True)