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EuroPython2022/Write-Stories-Using-Bloom

sourceHugging Facegplupdated 4y agoView on Hugging Face
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app.py88 linesDownload Raw Back to root
1import gradio as gr2import requests3import os 4 5##Bloom Inference API6API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"7HF_TOKEN = os.environ["HF_TOKEN"]8headers = {"Authorization": f"Bearer {HF_TOKEN}"}9 10 11def text_generate(prompt, generated_txt): 12  #Prints to debug the code13  print(f"*****Inside text_generate - Prompt is :{prompt}")14  json_ = {"inputs": prompt,15            "parameters":16            {17            "top_p": 0.9,18          "temperature": 1.1,19          #"max_new_tokens": 64,20          "return_full_text": True,21          "do_sample":True,22          }, 23          "options": 24          {"use_cache": True,25          "wait_for_model": True,26          },}27  response = requests.post(API_URL, headers=headers, json=json_)28  print(f"Response  is : {response}")29  output = response.json()30  print(f"output is : {output}") 31  output_tmp = output[0]['generated_text']32  print(f"output_tmp is: {output_tmp}")33  solution = output_tmp.split("\nQ:")[0]   34  print(f"Final response after splits is: {solution}")35  if '\nOutput:' in solution:36    final_solution = solution.split("\nOutput:")[0] 37    print(f"Response after removing output is: {final_solution}")38  elif '\n\n' in solution:39    final_solution = solution.split("\n\n")[0] 40    print(f"Response after removing new line entries is: {final_solution}")41  else:42    final_solution = solution43  44  45  if len(generated_txt) == 0 :46    display_output = final_solution47  else:48    display_output = generated_txt[:-len(prompt)] + final_solution49  new_prompt = final_solution[len(prompt):]50  print(f"new prompt for next cycle is : {new_prompt}")51  print(f"display_output for printing on screen is : {display_output}")52  if len(new_prompt) == 0:53    temp_text = display_output[::-1]54    print(f"What is the last character of sentence? : {temp_text[0]}")55    if temp_text[1] == '.':56      first_period_loc = temp_text[2:].find('.') + 157      print(f"Location of last Period is: {first_period_loc}")58      new_prompt = display_output[-first_period_loc:-1]59      print(f"Not sending blank as prompt so new prompt for next cycle is : {new_prompt}")60    else:61      print("HERE")62      first_period_loc = temp_text.find('.')63      print(f"Location of last Period is : {first_period_loc}")64      new_prompt = display_output[-first_period_loc:-1]65      print(f"Not sending blank as prompt so new prompt for next cycle is : {new_prompt}")66    display_output = display_output[:-1]67    68  return display_output, new_prompt  69 70 71demo = gr.Blocks()72 73with demo:74  gr.Markdown("<h1><center>Write Stories Using Bloom</center></h1>")75  gr.Markdown(76        """Bloom is a model by [HuggingFace](https://huggingface.co/bigscience/bloom) and a team of more than 1000 researchers coming together as [BigScienceW Bloom](https://twitter.com/BigscienceW).\n\nLarge language models have demonstrated a capability of producing coherent sentences and given a context we can pretty much decide the *theme* of generated text.\n\nHow to Use this App: Use the sample text given as prompt or type in a new prompt as a starting point of your awesome story! Just keep pressing the 'Generate Text' Button and go crazy!\n\nHow this App works: This app operates by feeding back the text generated by Bloom to itself as a Prompt for next generation round and so on. Currently, due to size-limits on Prompt and Token generation, we are only able to feed very limited-length text as Prompt and are getting very few tokens generated in-turn. This makes it difficult to keep a tab on theme of text generation, so please bear with that. In summary, I believe it is a nice little fun App which you can play with for a while.\n\nThis Space is created by [Yuvraj Sharma](https://twitter.com/yvrjsharma) for EuroPython 2022 Demo."""77        )78  with gr.Row():79    input_prompt = gr.Textbox(label="Write some text to get started...", lines=3, value="Dear human philosophers, I read your comments on my abilities and limitations with great interest.")  80    81  with gr.Row():82    generated_txt = gr.Textbox(lines=7, visible = True)83  84  b1 = gr.Button("Generate Your Story")85 86  b1.click(text_generate, inputs=[input_prompt, generated_txt], outputs=[generated_txt, input_prompt]) 87 88demo.launch(enable_queue=True, debug=True)