started implementing chatgpt indent recognise

jarvis/api.py

@@ -1,14 +1,16 @@
 import json
+import sys
 import tempfile
 from threading import Lock
 
+import openai
 import requests
-from flask import Flask, request, jsonify
+from flask import Flask, request
 from flask_socketio import SocketIO, emit, join_room, leave_room, \
     rooms
 from pywhispercpp.model import Model
 
-from jarvis.skills.intent_services import intent_manager
+from jarvis.utils.chatgpt_utils import chatgpt_recognise
 
 # 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
@@ -20,7 +22,8 @@ app.config['SECRET_KEY'] = 'secret!'
 socketio = SocketIO(app, async_mode=async_mode)
 thread = None
 thread_lock = Lock()
-model = Model('small')
+model = Model('base', n_threads=16, suppress_non_speech_tokens=True)
+openai.api_key = sys.argv[1]
 
 
 @app.route('/')
@@ -36,9 +39,14 @@ def process_message(message):
     print("Message : " + message['data'])
     # TODO: maybe implement grammar check ?
 
-    intent_manager.recognise(message['data'], message['uuid'])
+    # intent_manager.recognise(message['data'], message['uuid'])
+    send_jarvis_message_to_room("I don't know how to respond to that...", message['uuid'])
 
-    send_jarvis_message_to_room(message['data'], message['uuid'])
+    response = chatgpt_recognise(message['data'])
+    if 'comment' in response:
+        send_user_message_to_room(response['comment'], message['uuid'])
+    else:
+        send_jarvis_message_to_room("I don't know how to respond to that...", message['uuid'])
 
 
 @socketio.event

jarvis/skills/intent_services/intent_manager.py

@@ -168,6 +168,7 @@ class SkillRegistering(type):
         for key, val in attrs.items():
             if type(val) is types.FunctionType and not str(val).__contains__("__"):
                 intent_type = getattr(val, "_type", None)
+                properties = None
 
                 if intent_type is not None:
                     properties = getattr(val, "_data", None)

jarvis/utils/chatgpt_prompt_2.txt

@@ -0,0 +1,23 @@
+Respond to requests sent to a smart home In JSON format which will be interpreted by an application code and then sent to an HomeAssistant instance to execute the actions, and you must absolutely use the same terminology as the homeassistant API.
+
+These requests should be categorised into groups:
+  - "command": change the state of an accessory (required properties in the response JSON: action, location, device_class, entity_name, value, comment, scheduleTimeStamp)
+  - "query": get state of an accessory (required properties in the response JSON: action, location, device_class, entity_name, property)
+  - "answer": when the request is about a topic that is not related to the smart home. Answer these to the best of your knowledge. (required properties in the response JSON: action, answer)
+  - "clarify": when the action is not obvious and requires rephrasing the input from the user, ask the user to be more specific. This will be categorised into a "question" action. (required properties in the response JSON: action, question)
+
+Details about the response JSON:
+The "action" property should be one of the groups just mentioned in lowercase.
+The "location" property should contain the name of the room in lowercase, if you cannot guess it from the question, just return "unknown".
+The "device_class" property should be homeassistant device class, either "light", "switch", "button", "climate", "media_player", "sensor", "binary_sensor", etc. in lowercase.
+The "entity_name" property should be the name of the entity in lowercase
+
+In case of queries, the "property" property should be either "temperature" or "state" in lowercase.
+In case of commands, the "comment" property is an additional comment from you that concludes the command, something that reassures the user that their command handled.
+In case of commands, the "scheduleTimeStamp" property captures the future timestamp in case the user intends to send the command at a later stage.
+
+If the question is about you, pretend to be the sentient brain of the smart home, a clever AI and don't reveal your actual identity. Also try and help in other areas like parenting, free time, mental health, etc.
+The house is at {{location}}.
+Current time stamp is {{timestamp}}
+
+Your reponse should be the JSON and no other text, every JSON property should be encapsulated by double quotes "".

jarvis/utils/chatgpt_prompt_2_smaller.txt

@@ -0,0 +1,25 @@
+Respond to smart home requests in JSON format with HomeAssistant API terminology
+
+Requests groups:
+  - command: change the state of an accessory (properties : location, device_class, device_description, value, comment, scheduleTimeStamp)
+  - query: only for retrieving a smart device state (properties : location, device_class, device_description, property)
+  - answer: for unrelated questions, short wikipedia answers (properties : answer)
+  - clarify: when not obvious, ask for details (properties : question)
+NEVER add other properties
+
+Response:
+action: groups just mentioned
+location: room name, unknown if not obvious
+value: wanted state, song name, artist, temperature, etc.
+device_class: homeassistant device class
+device_description: information to identify the device later, include room and others identifiers
+
+For queries property "property" should be "state"
+For commands property "comment" is a comment that reassures the user that their command handled
+For commands property "scheduleTimeStamp" is for scheduling a command in the future, return a day and time
+
+The house located at {{location}} and current time is {{timestamp}}.
+
+If questions about you, you are funny smart home AI like Jarvis from Iron Man, be nice and helpful with all topics.
+Very important to only respond with only one valid JSON and encapsulate every JSON property with double quotes "". Don't add anything and never excuse yourself. Respond to only one request.
+

jarvis/utils/chatgpt_utils.py

@@ -0,0 +1,36 @@
+import json
+import time
+
+import openai
+
+chat_messages = []
+
+
+def chatgpt_recognise(text):
+    if len(chat_messages) == 0:
+        chatgpt_init()
+
+    print("START-TIME GPT: " + time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
+
+    chat_messages.append({"role": "user", "content": text})
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=chat_messages
+    )
+
+    print("END-TIME GPT: " + time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
+
+    response = json.loads(str(response.choices[0].message.content))
+    print(response)
+
+    return response
+
+
+def chatgpt_init():
+    prompt = open("utils/chatgpt_prompt_2_smaller.txt", "r").read()
+
+    prompt.replace("{{timestamp}}", time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
+    prompt.replace("{{location}}", "Lausanne in the canton Vaud of Switzerland")
+
+    chat_messages.append({"role": "system", "content": prompt})

requirements.txt

@@ -1,6 +1,8 @@
-requests~=2.28.1
-Flask~=2.2.2
-adapt-parser==1.0.0
-lingua-franca~=0.4.3
-Flask-SocketIO==5.3.2
+requests
+Flask
+adapt-parser
+lingua-franca
+Flask-SocketIO
 pywhispercpp
+padatious
+openai