rework of the conversation engines and text processing

basic_test_client.py

@@ -41,4 +41,4 @@ if __name__ == '__main__':
 
             waiting = True
 
-            sock.emit('process_message', json.dumps({'data': message, 'uuid': 'clientpc'}))
+            sock.emit('process_message', json.dumps({'text': message, 'uuid': 'clientpc', 'engine': 'chatgpt3'}))

run.py

@@ -2,7 +2,7 @@ import logging
 
 from src.audio import audio_utils
 from src.database import db_utils
-from src.declarations import TTSEngine, STTEngine
+from src.constants import TTSEngine, STTEngine
 from src.network import api
 
 # import lingua_franca

src/audio/audio_utils.py

@@ -1,7 +1,7 @@
 import tempfile
 
 from src.audio.stt import faster_whisper
-from src.declarations import STTEngine, TTSEngine
+from src.constants import STTEngine, TTSEngine
 
 
 def load_models(stt_engine: STTEngine, tts_engine: TTSEngine):

src/constants.py

@@ -37,14 +37,22 @@ class STTEngine(Enum):
     FASTER_WHISPER = "faster_whisper"
 
 
+class ChatEngine(Enum):
+    """
+    List of Chat engines
+    """
+    CHATGPT3 = "chatgpt3"
+
+
 def get_enum_from_str(enumclass, name):
     """
     Get enum from string
-    :param enumclass:
+    :param enumclass: Class of enum
-    :param name:
+    :param name: Name of enum as string
     :return:
     """
     for enum in enumclass:
-        if enum.name == name:
+        if enum.value.lower() == name.lower() or enum.name.lower() == name.lower():
             return enum
+
     raise Exception("Unknown enum " + name)

src/network/api.py

@@ -6,7 +6,7 @@ from flask import Flask, request
 from flask_socketio import SocketIO
 
 from src.network import endpoint_handler, socket_handler
-from src.declarations import Endpoints, Sockets
+from src.constants import Endpoints, Sockets
 
 # Set this variable to "threading", "eventlet" or "gevent" to test the
 # different async modes, or leave it set to None for the application to choose

src/network/endpoint_handler.py

@@ -1,7 +1,7 @@
 import logging
 
 from src.audio import audio_utils
-from src.declarations import Endpoints, Sockets
+from src.constants import Endpoints, Sockets
 
 
 def handle_endpoint(endpoint, request):

src/network/socket_handler.py

@@ -3,8 +3,8 @@ import logging
 
 from flask_socketio import rooms, join_room, leave_room, emit
 
-from src.declarations import Sockets
+from src.constants import Sockets
-from src.network import interactions
+from src.text.engine import conversation
 
 
 def handle_socket(socket, message):
@@ -44,7 +44,7 @@ def process_message(message):
     message = json.loads(message)
 
     logging.info("New process request from room " + message['uuid'])
-    logging.info("Message : " + message['data'])
+    logging.info("Message : " + message['text'])
 
     if message['uuid'] not in rooms():
         logging.warning("Room not found, creating it")
@@ -53,13 +53,14 @@ def process_message(message):
     # TODO: maybe implement grammar check and correction ?
 
     # intent_manager.recognise(message['data'], message['uuid'])
-    if message['data'] != "":
+    if message['text'] != "":
         # response = chatgpt_utils.chatgpt_recognise(message['data'], message['uuid'])
-        text_response = "Tokens are expensive ya know?"
-
-        print(text_response)
-        interactions.add_message_from_assistant(text_response, message['uuid'])
         # chat_utils.send_jarvis_message_to_room(response['response'], message['uuid'])
+        response = conversation.process_text(message['engine'], message['text'], message['uuid'])
+
+        # text_response = "Tokens are expensive ya know?"
+        # print(text_response)
+        # interactions.add_message_from_assistant(text_response, message['uuid'])
 
 
 def clear_chat(message):

src/text/engine/chatgpt3/chatgpt.py

@@ -5,79 +5,93 @@ import time
 
 import openai
 
-from src.database import db_utils
 from src.get_path_file import project_path
 
 chat_messages = {}
 
 
-def setup_messages(uuid):
+def get_prompt():
-    prompt = open(project_path / "resources" / "gpt_prompt_v3.txt", "r").read()
+    return open(project_path / "text" / "engine" / "chatgpt3" / "prompt.txt", "r").read()
-    chat_messages[uuid] = [{"role": "system", "content": prompt}]
 
 
-def chatgpt_recognise(text, uuid):
+def start_new_conversation(uuid: str):
-    # If the chat history is empty, create it
+    chat_messages[uuid] = [{"role": "system", "content": get_prompt()}]
-    if uuid not in chat_messages:
+
-        setup_messages(uuid)
+
+def add_message_to_history(text: str, uuid: str, role: str):
+    """
+    Add a message to the history to a specific room.
+    :param text: message to add
+    :param uuid: room id
+    :param role: user, assistant or system
+    :return: None
+    """
 
     # Add the user message to the chat history
-    chat_messages[uuid].append({"role": "user", "content": text})
+    chat_messages[uuid].append({"role": role, "content": text})
 
-    history = chat_messages.get(uuid)
+
+def get_last_x_messages(uuid: str, x: int):
+    """
+    Get the last x messages from a specific room.
+    :param uuid: room id
+    :param x: number of messages to get
+    :return: None
+    """
+
+    return chat_messages[uuid][-x:]
+
+
+def get_last_x_messages_as_text(uuid: str, x: int):
+    """
+    Get the last x messages from a specific room.
+    :param uuid: room id
+    :param x: number of messages to get
+    :return: None
+    """
+
+    messages = get_last_x_messages(uuid, x)
+    text = "\nFor context, last questions were: \n"
+
+    for message in messages:
+        text += message["content"] + "\n"
+
+    return text
+
+
+def process_text(text: str, uuid: str):
+    add_message_to_history(text, uuid, "user")
+
+    # Create a copy of the chat history to avoid modifying the original when appending the last messages
+    # (history, see below)
+    conversation = chat_messages[uuid]
+
+    # If history is > 2 messages, add the previous messages to the prompt for keeping context
+    # This is a "hack" to cost less tokens as it avoids resending the whole conversation history,
+    # and instead resends the prompt with the last messages appended to it
     if len(chat_messages[uuid]) > 2:
-        history = []
+        prompt = conversation[0]
-        prompt = chat_messages.get(uuid)[0]
+        last_messages = get_last_x_messages_as_text(uuid, 6)
-        last_messages = "\nFor context, last questions were: \n"
-
-        for message in chat_messages.get(uuid)[-6:]:
-            if message["role"] == "user":
-                last_messages += message["content"] + "\n"
-
         prompt['content'] = prompt['content'] + last_messages
-        history.append(prompt)
+        conversation[0] = prompt
 
     # Call ChatGPT API
     start_time = time.time()
     response = openai.ChatCompletion.create(
         model="gpt-3.5-turbo",
-        # return first and last three messages from array
+        messages=conversation,
-        messages=history,
     )
-    end_time = time.time()
+    logging.info("OpenAI GPT response in " + str(round(time.time() - start_time, ndigits=2)) + " seconds")
-    logging.info("GPT-3 response in " + str(round(end_time - start_time, ndigits=2)) + " seconds")
 
+    # Try to parse the response
     try:
         # Parse the response
         query_json = parse_gpt_json(response.choices[0].message.content)
-
+        logging.info(query_json)
-        # Check if the response looks like a "valid" JSON
-        if 'simplified_sentence' in query_json and 'response' in query_json:
-            response = query_json['response']
-            simplified_sentence = query_json['simplified_sentence']
-
-            # Add the response to the chat history
-            chat_messages[uuid].append({"role": "assistant", "content": response})
-
-            # Add to local database
-            db_utils.add_command(text, simplified_sentence, response)
-
-            # Return the response
-            return query_json
-
-        elif 'response' in query_json:
-            response = query_json['response']
-
-            # Add the response to the chat history
-            chat_messages[uuid].append({"role": "assistant", "content": response})
-
-            # Return the response
-            return query_json
 
     except Exception as e:
         # If the response is not a JSON, it's probably a plaintext response
         logging.error("Error while parsing ChatGPT response, probably not JSON: " + str(response.choices))
-
         return {"simplified_sentence": "Error", "response": "I am having trouble understanding you. Please try again."}
 
 
@@ -160,7 +174,7 @@ def parse_gpt_json(input_string):
         return None
 
 
-def clear_chat(uuid):
+def clear_conversation(uuid):
     """Clear the chat history for a given uuid"""
     logging.info("Cleared chat for uuid " + uuid)
     setup_messages(uuid)

src/text/engine/conversation.py

@@ -0,0 +1,85 @@
+import logging
+
+from src.constants import ChatEngine, get_enum_from_str
+from src.text.engine.chatgpt3 import chatgpt
+
+conversations = {}
+
+
+def start_new_conversation(engine: str, uuid: str):
+    """
+    Start a new conversation with the given engine.
+    :param engine: See Enum ChatEngine
+    :param uuid: room id
+    :return: None
+    """
+
+    if type(engine) is not ChatEngine:
+        engine = get_enum_from_str(ChatEngine, engine)
+
+    if engine is ChatEngine.CHATGPT3:
+        chatgpt.start_new_conversation(uuid)
+    else:
+        raise Exception("Unknown chat engine")
+
+
+def clear_conversation(engine: str, uuid: str):
+    """
+    Clear conversation with the given engine.
+    :param engine: See Enum ChatEngine
+    :param uuid: room id
+    :return: None
+    """
+
+    if type(engine) is not ChatEngine:
+        engine = get_enum_from_str(ChatEngine, engine)
+
+    if uuid in conversations:
+        logging.info("Cleared chat for uuid " + uuid)
+        del conversations[uuid]
+        start_new_conversation(engine, uuid)
+    else:
+        raise Exception("Unknown conversation: " + uuid)
+
+
+def process_text(engine: str, text: str, uuid: str):
+    """
+    Process text with the given engine.
+    :param engine: See Enum ChatEngine
+    :param text: text
+    :param uuid: room id
+    :return: intent as JSON
+    """
+
+    if type(engine) is not ChatEngine:
+        engine = get_enum_from_str(ChatEngine, engine)
+
+    if uuid not in conversations:
+        start_new_conversation(engine, uuid)
+
+    if engine is ChatEngine.CHATGPT3:
+        return chatgpt.process_text(text, uuid)
+    else:
+        raise Exception("Unknown chat engine")
+
+
+def add_message_to_history(engine: str, text: str, uuid: str, role: str):
+    """
+    Add a message to the history of the given engine for a specific room.
+    :param engine: See Enum ChatEngine
+    :param text: text
+    :param uuid: room id
+    :param role: user, assistant or system
+    :return: None
+    """
+
+    if type(engine) is not ChatEngine:
+        engine = get_enum_from_str(ChatEngine, engine)
+
+    if uuid not in conversations:
+        start_new_conversation(engine, uuid)
+
+    if engine is ChatEngine.CHATGPT3:
+        chatgpt.add_message_to_history(text, uuid, role)
+    else:
+        raise Exception("Unknown chat engine")