add generative component to dst/dp

ai_talks/AMUseBotBackend/src/DP/dp.py

@@ -4,12 +4,39 @@ from AMUseBotBackend.src.NLG.nlg import NLG
 from AMUseBotBackend.src.tools.search import search_recipe
 
 import AMUseBotBackend.consts as c
+import openai
+import json
+
 
 
 class DP:
 
-    def __init__(self, dst: DST):
+    def __init__(self, dst: DST, llm_rephrasing=False, character='default'): #TODO: a way to set llm_rephrasing status and a character
         self.dst_module = dst
+        self.llm_rephrasing = llm_rephrasing
+        with open('ai_talks/AMUseBotBackend/utils/characters_dict.json') as f:
+            characters_dict = json.load(f)
+        self.character = characters_dict[character]
+
+
+    def llm_rephrase(self, character, response):
+        model = character['model']
+        openai.api_key = character['api_key']
+        prompt = character['prompt']
+        input = character['leftside_input'] + response + character['rightside_input']
+
+        message = [{'role': 'system', 'content': prompt}, {'role': 'user', 'content': input}]
+
+        try:
+            response = openai.ChatCompletion.create(
+                model=model, messages=message, temperature=1, max_tokens=128
+            )
+            rephrased_response = response.choices[0].message.content
+        except:
+            print('OpenAI API call failed during response paraphrasing! Returning input response')
+            rephrased_response = response
+
+        return rephrased_response
 
 
 
@@ -31,8 +58,14 @@ class DP:
                 if found_recipe:
                     recipe_name = self.dst_module.set_recipe(found_recipe)
                     self.dst_module.set_next_step()
+                    if self.llm_rephrasing:
+                        return NLG.MESSAGE_CHOOSEN_RECIPE(recipe_name=recipe_name) + "\n" \
+                            + self.llm_rephrase(self.character, self.dst_module.generate_state(c.STEPS_KEY)[
+                                self.dst_module.generate_state(c.CURR_STEP_KEY)])
+                    else:
                         return NLG.MESSAGE_CHOOSEN_RECIPE(recipe_name=recipe_name) + "\n" \
                             + self.dst_module.generate_state(c.STEPS_KEY)[self.dst_module.generate_state(c.CURR_STEP_KEY)]
+
                 if not found_recipe:
                     return NLG.MESSAGE_NOT_UNDERSTAND_SUGGEST_RECIPE(self.dst_module.get_random_recipes(3))
             # not understand ask recipe
@@ -51,6 +84,9 @@ class DP:
                     or "req_instruction" in intents):
                 next_step = self.dst_module.set_next_step()
                 if (next_step):
+                    if self.llm_rephrasing:
+                        return self.llm_rephrase(self.character, self.dst_module.generate_state(c.STEPS_KEY)[self.dst_module.generate_state(c.CURR_STEP_KEY)])
+                    else:
                         return self.dst_module.generate_state(c.STEPS_KEY)[self.dst_module.generate_state(c.CURR_STEP_KEY)]
                 if (not next_step):
                     self.dst_module.restart()

ai_talks/AMUseBotBackend/src/DST/dst.py

@@ -79,18 +79,20 @@ class DST:
     def __set_steps(self):
         dialog_files = []
         steps = {}
-        for (_, _, filenames) in walk(self.__dialog_path):
+        for (_, _, filenames) in walk(self.__recipe_path):
             dialog_files.extend(filenames)
             break
         for dialog_title in dialog_files:
             if dialog_title.startswith(f"{self.__recipe_id:03d}"):
-                with open(self.__dialog_path + "/" + dialog_title) as f:
+                with open(self.__recipe_path + dialog_title) as f:
                     data = json.load(f)
-                    for message in data["messages"]:
-                        if "inform_instruction" in message["annotations"]:
-                            steps[len(steps)] = message["utterance"]
+                    for row in data['content']:
+                        if row['type']=='instruction':
+                            steps[len(steps)] = row['text'].split(maxsplit=1)[1]
+
         self.__steps = steps
 
+    
     def __set_ingredients(self):
         dialog_files = []
         ingredients = []