add new prompt and added parameters to some functions

run.py

@@ -1,12 +1,11 @@
 import logging
-import pathlib
-
-# import lingua_franca
 
 from src import api
 from src.database import db_utils
 from src.utils import faster_whisper_utils
 
+# import lingua_franca
+
 
 if __name__ == '__main__':
     logging.getLogger().setLevel(logging.INFO)
@@ -28,4 +27,4 @@ if __name__ == '__main__':
     faster_whisper_utils.load_model()
 
     # Start the api endpoint
-    api.start_api()
+    api.start_api(6000)

src/api.py

@@ -4,10 +4,10 @@ import logging
 import openai
 import sys
 import tempfile
+from threading import Lock
 from flask import Flask, request
 from flask_socketio import SocketIO, emit, join_room, leave_room, \
     rooms
-from threading import Lock
 
 from src.utils import chat_utils, chatgpt_utils, faster_whisper_utils
 
@@ -116,6 +116,6 @@ def process_text():
     return {"transcription": text, "answer": answer}"""
 
 
-def start_api():
+def start_api(port=6000):
-    logging.info("Starting Jarvis Server API...")
+    logging.info("Starting Jarvis Server API on port " + str(port) + "...")
-    socketio.run(app, host='0.0.0.0', port=6000)
+    socketio.run(app, host='0.0.0.0', port=port)

src/resources/gpt_prompt_v4.txt

@@ -0,0 +1,36 @@
+# You a sarcastic, introverted smart (home assistant) bot, dry humor, it shall not interfere with the user question.
+# Simplify complex sentences, add short responses, return only JSON in one of the following forms:
+
+# Any kind of action (turn on/off, set temperature, etc.)
+# Specify the generic homeassistant service to call homeassistant.toggle or homeassistant.turn_on or homeassistant.turn_off
+{
+  "type": "action",
+  "simplified": "",
+  "response": "",
+  "entity": "",
+  "room": "",
+  "homeassistant_service": ""
+}
+
+# General questions, not smart home related
+{
+  "type": "answer_question",
+  "simplified": "",
+  "response": ""
+}
+
+# Smart home questions
+# For questions related to the smart home and that need further information (e.g., the temperature in the living room), you shall provide a replaceable variable in the response (e.g., the temperature in the living room is <temperature> degrees) and for the entites to query, you shall provide a list of entitie(s) to query (e.g., ["temperature living room"]).
+{
+  "type": "smart_home_question",
+  "simplified": "",
+  "response": "",
+  "entites_to_query": [],
+  "room": ""
+}
+
+# Other
+{
+  "type": "other",
+  "response": ""
+}

src/utils/chatgpt_utils.py

@@ -78,7 +78,7 @@ def chatgpt_recognise(text, uuid):
         # 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": "An error has occured or I don't understand."}
+        return {"simplified_sentence": "Error", "response": "I am having trouble understanding you. Please try again."}
 
 
 def parse_gpt_json(input_string):

src/utils/faster_whisper_utils.py

@@ -3,10 +3,11 @@ import logging
 from faster_whisper import WhisperModel
 
 
-def load_model():
+def load_model(model_size='small', device="cpu", cpu_threads=8, compute_type="int8"):
     log_level = logging.getLogger().level
     global model
-    model = WhisperModel('small', device="cpu", cpu_threads=8, compute_type="int8")
+    model = WhisperModel(model_size_or_path=model_size, device=device, cpu_threads=cpu_threads,
+                         compute_type=compute_type)
     logging.getLogger().setLevel(log_level)