Define the human input source, such as a chatbot, a voice assistant, …

…or a web interface, based on the task requirements and the agent's mode.

agent_configurator.py

@@ -2,10 +2,15 @@
 
 import pymongo
 
+from chatbot import Chatbot
+from voice_assistant import VoiceAssistant
+from web_interface import WebInterface
+
 
 class AgentConfigurator:
     def __init__(self):
         self.llm_models = {}
+        self.human_input_sources = {}
         self.input_sources = ["text", "voice", "image"]
         self.tools = ["NLTK", "spaCy", "gensim"]
 
@@ -20,13 +25,21 @@ def configure_agent(self, agent_id, mode, source):
             print("Error: No compatible LLM model found.")
             return False
 
+        # Define the human input source based on the task requirements and the agent's mode
+        human_input_source = self._define_human_input_source(mode)
+        if not human_input_source:
+            print("Error: No compatible human input source found.")
+            return False
+
         if not llm_model or not input_source or not tools:
             print("Error: Invalid mode for agent.")
             return False
 
         # Configure agent's parameters based on mode and user's specifications
         if not self._configure_llm_model(agent_id, llm_model):
             return False
+        if not self._configure_human_input_source(agent_id, human_input_source):
+            return False
 
         return True
 
@@ -40,6 +53,16 @@ def _select_llm_model(self, mode, source):
         if mode in self.llm_models:
             return self.llm_models[mode]
 
+    # Define the human input source based on the task requirements and the agent's mode
+    def _define_human_input_source(self, mode):
+        # Check if human input sources have been loaded
+        if not self.human_input_sources:
+            self._load_human_input_sources()
+
+        # Define the human input source based on the task requirements and the agent's mode
+        if mode in self.human_input_sources:
+            return self.human_input_sources[mode]
+
     def _select_input_source(self, mode):
         if mode == "text":
             return "text"
@@ -99,3 +122,23 @@ def _configure_llm_model(self, agent_id, llm_model):
         # ...
 
         return True
+
+    # Load human input sources from database or file system
+    def _load_human_input_sources(self):
+        # Load human input sources from database or file system
+        # ...
+
+        # Store human input sources in dictionary
+        self.human_input_sources = {
+            "mode1": Chatbot(),
+            "mode2": VoiceAssistant(),
+            "mode3": WebInterface(),
+            # ...
+        }
+
+    # Configure agent's human input source based on user's specifications
+    def _configure_human_input_source(self, agent_id, human_input_source):
+        # Configure agent's human input source based on user's specifications
+        # ...
+
+        return True

chatbot.py

@@ -0,0 +1,21 @@
+class Chatbot:
+    def __init__(self):
+        self.name = "Chatbot"
+        self.greeting = "Hello! How can I assist you today?"
+
+    def get_name(self):
+        return self.name
+
+    def set_name(self, name):
+        self.name = name
+
+    def get_greeting(self):
+        return self.greeting
+
+    def set_greeting(self, greeting):
+        self.greeting = greeting
+
+    def respond(self, message):
+        # Implement your chatbot's response logic here
+        # ...
+        return "I'm sorry, I don't understand. Can you please rephrase?"

voice_assistant.py

@@ -0,0 +1,22 @@
+import pyttsx3
+import speech_recognition as sr
+
+
+class VoiceAssistant:
+    def __init__(self):
+        self.recognizer = sr.Recognizer()
+        self.engine = pyttsx3.init()
+
+    def listen(self):
+        with sr.Microphone() as source:
+            self.recognizer.adjust_for_ambient_noise(source)
+            audio = self.recognizer.listen(source)
+        try:
+            text = self.recognizer.recognize_google(audio)
+            return text
+        except sr.UnknownValueError:
+            return None
+
+    def speak(self, text):
+        self.engine.say(text)
+        self.engine.runAndWait()

web_interface.py

@@ -0,0 +1,13 @@
+class WebInterface:
+    def __init__(self):
+        # Initialize necessary attributes
+        self.user_input = None
+        self.response = None
+
+    def get_user_input(self):
+        # Get user input from the web interface
+        self.user_input = input("Enter your input: ")
+
+    def send_response(self):
+        # Send the response back to the web interface
+        print(self.response)