app.py

from asyncio import constants
import gradio as gr
import requests
import os 
import re
import random
from words import *

basePrompt="""
The following session was recorded from a text adventure game.
----
"""

story="""
Computer: You approach the enterance of the dungeon.
"""


def fallbackResponse():
    "You are attacked by a {monster}!".format(monster=random.choice(monsters))

def continue_story(prompt):


  p=basePrompt+story+"player:"+prompt

  print(f"*****Inside desc_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_)
  response = requests.post(API_URL, json=json_)
  output = response.json()
  print(f"If there was an error? Reason is : {output}")


  #error handling
  if "error" in output:
    print("using fallback description method!")
    #fallback method
    output_tmp=fallbackResponse()
  else:
    output_tmp = output[0]['generated_text']
    #truncate response at first newline
    if "\n" in output_tmp:
        idx = output_tmp.find('\n')
        output_tmp = output_tmp[:idx]
    #check if response starts with "computer:", if not add it
    if ":" not in output_tmp:
        output_tmp = "computer:"+output_tmp



  #truncate story to last 6 lines
  story_tmp = story.split("\n")
  if len(story_tmp)>6:
    story_tmp = story_tmp[-6:]
  story = "\n".join(story_tmp)
  #return story
  story=story+"player:"+prompt+"\n"+output_tmp+"\n"


demo = gr.Blocks()

with demo:
  gr.Markdown("<h1><center>NPC Generator</center></h1>")
  gr.Markdown(
        "based on <a href=https://huggingface.co/spaces/Gradio-Blocks/GPTJ6B_Poetry_LatentDiff_Illustration> Gradio poetry generator</a>."
        "<div>first input name, race and class (or generate them randomly)</div>"
        "<div>Next, use GPT-J to generate a short description</div>"
        "<div>Finally, Generate an illustration 🎨 provided by <a href=https://huggingface.co/spaces/multimodalart/latentdiffusion>Latent Diffusion model</a>.</div>"
    )
  
  with gr.Row():
    b0 = gr.Button("Submit")
  
  with gr.Row():  
    input_command = gr.Textbox(label="input",placeholder="look around")
    
  with gr.Row():
    story = gr.Textbox(label="description",lines=7)
  
  b0.click(continue_story,inputs=[input_command],outputs=[story])
  #examples=examples

demo.launch(enable_queue=True, debug=True)