fix cli for vicuna (nod-ai#1666)

apps/language_models/scripts/vicuna.py

@@ -1564,21 +1564,15 @@ def autocomplete(self, prompt):
             config_json=config_json,
             weight_group_size=args.weight_group_size,
         )
-    prompt_history = "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n"
+    system_message = "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n"
     prologue_prompt = "ASSISTANT:\n"
 
+    from apps.stable_diffusion.web.ui.stablelm_ui import chat, set_vicuna_model
+    history = []
+    set_vicuna_model(vic)
     while True:
         # TODO: Add break condition from user input
         user_prompt = input("User: ")
-        prompt_history = (
-            prompt_history + "USER:\n" + user_prompt + prologue_prompt
-        )
-        prompt = prompt_history.strip()
-        res_str = vic.generate(prompt, cli=True)
-        torch.cuda.empty_cache()
-        gc.collect()
-        print(
-            "\n-----\nAssistant: Here's the complete formatted reply:\n",
-            res_str,
-        )
-        prompt_history += f"\n{res_str}\n"
+        history.append([user_prompt,""])
+        history = list(chat(system_message, history, model="vicuna=>TheBloke/vicuna-7B-1.1-HF", device=args.device, precision=args.precision, cli=args.cli))[0]
+

apps/stable_diffusion/web/ui/stablelm_ui.py

@@ -74,14 +74,17 @@ def create_prompt(model_name, history):
     return msg
 
 
+def set_vicuna_model(model):
+    global vicuna_model
+    vicuna_model = model
+
+
 # TODO: Make chat reusable for UI and API
-def chat(curr_system_message, history, model, device, precision):
-    global sharded_model
+def chat(curr_system_message, history, model, device, precision, cli=True):
     global past_key_values
-    global vicuna_model
 
+    global vicuna_model
     model_name, model_path = list(map(str.strip, model.split("=>")))
-    print(f"In chat for {model_name}")
 
     if model_name in ["vicuna", "vicuna1p3", "codegen"]:
         from apps.language_models.scripts.vicuna import (
@@ -109,9 +112,8 @@ def chat(curr_system_message, history, model, device, precision):
                 max_num_tokens=max_toks,
             )
         prompt = create_prompt(model_name, history)
-        print("prompt = ", prompt)
 
-        for partial_text in vicuna_model.generate(prompt):
+        for partial_text in vicuna_model.generate(prompt, cli=cli):
             history[-1][1] = partial_text
             yield history
 
@@ -140,7 +142,7 @@ def chat(curr_system_message, history, model, device, precision):
 
     partial_text = ""
     for new_text in words_list:
-        # print(new_text)
+        print(new_text)
         partial_text += new_text
         history[-1][1] = partial_text
         # Yield an empty string to clean up the message textbox and the updated