initial commit

app.py

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+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
+    computerResponse=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
+  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=[],outputs=[input_name,input_race,input_class,input_pronoun])
+  b1.click(npc_generate, inputs=[ input_name,input_race,input_class,input_pronoun], outputs=desc_txt)
+  b2.click(desc_to_image, desc_txt, output_image)
+  #examples=examples
+
+demo.launch(enable_queue=True, debug=True)

words.py

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+monsters="""dragon
+ogre
+goblin
+orc
+troll
+giant
+vampire
+zombie
+skeleton
+ghoul
+werewolf""".split("\n")