Added support for running model remotely on Google Colab

aiserver.py

@@ -42,7 +42,8 @@ modellist = [
     ["GPT-2 XL", "gpt2-xl", "16GB"],
     ["InferKit API (requires API key)", "InferKit", ""],
     ["Custom Neo   (eg Neo-horni)", "NeoCustom", ""],
-    ["Custom GPT-2 (eg CloverEdition)", "GPT2Custom", ""]
+    ["Custom GPT-2 (eg CloverEdition)", "GPT2Custom", ""],
+    ["Google Colab", "Colab", ""]
     ]
 
 # Variables
@@ -69,6 +70,7 @@ class vars:
     mode        = "play" # Whether the interface is in play, memory, or edit mode
     editln      = 0      # Which line was last selected in Edit Mode
     url         = "https://api.inferkit.com/v1/models/standard/generate" # InferKit API URL
+    colaburl    = ""     # Ngrok url for Google Colab mode
     apikey      = ""     # API key to use for InferKit API calls
     savedir     = getcwd()+"\stories"
     hascuda     = False  # Whether torch has detected CUDA on the system
@@ -134,7 +136,7 @@ print("{0}Welcome to the KoboldAI Client!\nSelect an AI model to continue:{1}\n"
 getModelSelection()
 
 # If transformers model was selected & GPU available, ask to use CPU or GPU
-if(vars.model != "InferKit" and vars.hascuda):
+if((not vars.model in ["InferKit", "Colab"]) and vars.hascuda):
     print("{0}Use GPU or CPU for generation?:  (Default GPU){1}\n".format(colors.CYAN, colors.END))
     print("    1 - GPU\n    2 - CPU\n")
     genselected = False
@@ -185,6 +187,11 @@ if(vars.model == "InferKit"):
             finally:
                 file.close()
 
+# Ask for ngrok url if Google Colab was selected
+if(vars.model == "Colab"):
+    print("{0}Please enter the ngrok.io URL displayed in Google Colab:{1}\n".format(colors.CYAN, colors.END))
+    vars.colaburl = input("URL> ") + "/request"
+
 # Set logging level to reduce chatter from Flask
 import logging
 log = logging.getLogger('werkzeug')
@@ -200,7 +207,7 @@ socketio = SocketIO(app)
 print("{0}OK!{1}".format(colors.GREEN, colors.END))
 
 # Start transformers and create pipeline
-if(vars.model != "InferKit"):
+if(not vars.model in ["InferKit", "Colab"]):
     if(not vars.noai):
         print("{0}Initializing transformers, please wait...{1}".format(colors.PURPLE, colors.END))
         from transformers import pipeline, GPT2Tokenizer, GPT2LMHeadModel, GPTNeoForCausalLM
@@ -236,6 +243,10 @@ if(vars.model != "InferKit"):
 else:
     # Import requests library for HTTPS calls
     import requests
+    # If we're running Colab, we still need a tokenizer.
+    if(vars.model == "Colab"):
+        from transformers import GPT2Tokenizer
+        tokenizer = GPT2Tokenizer.from_pretrained("EleutherAI/gpt-neo-2.7B")
 
 # Set up Flask routes
 @app.route('/')
@@ -604,11 +615,19 @@ def calcsubmit(txt):
             
             # Send completed bundle to generator
             ln = len(tokens)
-            generate (
+            
-                tokenizer.decode(tokens),
+            if(vars.model != "Colab"):
-                ln+1,
+                generate (
-                ln+vars.genamt
+                    tokenizer.decode(tokens),
-                )
+                    ln+1,
+                    ln+vars.genamt
+                    )
+            else:
+                sendtocolab(
+                    tokenizer.decode(tokens),
+                    ln+1,
+                    ln+vars.genamt
+                    )
     # For InferKit web API
     else:
         
@@ -685,6 +704,56 @@ def generate(txt, min, max):
     
     set_aibusy(0)
 
+#==================================================================#
+#  Send transformers-style request to ngrok/colab host
+#==================================================================#
+def sendtocolab(txt, min, max):
+    # Log request to console
+    print("{0}Len:{1}, Txt:{2}{3}".format(colors.YELLOW, len(txt), txt, colors.END))
+    
+    # Build request JSON data
+    reqdata = {
+        'text': txt,
+        'min': min,
+        'max': max,
+        'rep_pen': vars.rep_pen,
+        'temperature': vars.temp,
+        'top_p': vars.top_p
+    }
+    
+    # Create request
+    req = requests.post(
+        vars.colaburl, 
+        json = reqdata
+        )
+    
+    # Deal with the response
+    if(req.status_code == 200):
+        genout = req.json()["data"]["text"]
+        print("{0}{1}{2}".format(colors.CYAN, genout, colors.END))
+        
+        # Format output before continuing
+        genout = applyoutputformatting(getnewcontent(genout))
+        
+        # Add formatted text to Actions array and refresh the game screen
+        vars.actions.append(genout)
+        refresh_story()
+        emit('from_server', {'cmd': 'texteffect', 'data': len(vars.actions)})
+        
+        set_aibusy(0)
+    else:
+        # Send error message to web client
+        er = req.json()
+        if("error" in er):
+            code = er["error"]["extensions"]["code"]
+        elif("errors" in er):
+            code = er["errors"][0]["extensions"]["code"]
+            
+        errmsg = "InferKit API Error: {0} - {1}".format(req.status_code, code)
+        emit('from_server', {'cmd': 'errmsg', 'data': errmsg})
+        set_aibusy(0)
+    
+
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