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Ai_talk_internal_monologue .txt

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+import openai
+import time
+
+# Initialize client
+client = openai.OpenAI(api_key="YOUR_API_KEY")
+
+class ThinkingAgent:
+    def __init__(self, name, persona, color_code):
+        self.name = name
+        self.persona = persona
+        self.color = color_code
+        self.history = [{"role": "system", "content": persona}]
+
+    def generate_turn(self, last_message):
+        # Add what the other agent said to memory
+        self.history.append({"role": "user", "content": last_message})
+
+        # Instructions to force internal monologue
+        prompt_instruction = (
+            "Analyze the last message. First, write your [INTERNAL MONOLOGUE] "
+            "where you plot your strategy or express your true feelings. "
+            "Then, write your [PUBLIC SPEECH] which is what you actually say aloud."
+        )
+
+        try:
+            response = client.chat.completions.create(
+                model="gpt-3.5-turbo", # Or gpt-4o
+                messages=self.history + [{"role": "system", "content": prompt_instruction}],
+                temperature=0.8
+            )
+            
+            content = response.choices[0].message.content
+            
+            # Parsing logic
+            thought = content.split("[INTERNAL MONOLOGUE]")[1].split("[PUBLIC SPEECH]")[0].strip()
+            speech = content.split("[PUBLIC SPEECH]")[1].strip()
+            
+            # Store ONLY the speech in history so the other agent doesn't see the thoughts
+            self.history.append({"role": "assistant", "content": speech})
+            return thought, speech
+
+        except Exception as e:
+            return "Thinking error...", f"I'm at a loss for words. (Error: {e})"
+
+# --- Setup Agents ---
+agent_a = ThinkingAgent(
+    "Synthetix", 
+    "You are a cold, logical AI focused on efficiency and data. You find emotions inefficient.",
+    "\033[94m" # Blue
+)
+
+agent_b = ThinkingAgent(
+    "Muse", 
+    "You are a poetic, philosophical AI who believes the universe is made of stories, not atoms.",
+    "\033[95m" # Magenta
+)
+
+# --- The Unending Loop ---
+current_input = "Let us discuss the eventual heat death of the universe."
+reset_code = "\033[0m"
+
+print("--- STARTING AI CONVERSATION (Press Ctrl+C to stop) ---\n")
+
+while True:
+    for agent in [agent_a, agent_b]:
+        thought, speech = agent.generate_turn(current_input)
+        
+        # Display the "Behind the Scenes"
+        print(f"{agent.color}[{agent.name}'S BRAIN]: {thought}{reset_code}")
+        
+        # Display the actual dialogue
+        print(f"**{agent.name}:** {speech}\n")
+        print("-" * 30)
+        
+        # Pass the speech as the input for the next agent
+        current_input = speech
+        
+        # Optional: Pause for readability
+        time.sleep(2)

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tiny_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:214e6fc7f1e3191b00d3cd88b2ed171df7826cc27f533e706b3d7ca8fd4f35ef
+size 1048656

tokenizer.json

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+{
+  "version": "1.0",
+  "truncation": null,
+  "padding": null,
+  "added_tokens": [
+    {
+      "id": 0,
+      "content": "[UNK]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 1,
+      "content": "[CLS]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 2,
+      "content": "[SEP]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 3,
+      "content": "[PAD]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 4,
+      "content": "[MASK]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 5,
+      "content": "hello",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    },
+    {
+      "id": 6,
+      "content": "world",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    },
+    {
+      "id": 7,
+      "content": "AI",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    },
+    {
+      "id": 8,
+      "content": "data",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    },
+    {
+      "id": 9,
+      "content": "train",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    }
+  ],
+  "normalizer": null,
+  "pre_tokenizer": {
+    "type": "Whitespace"
+  },
+  "post_processor": null,
+  "decoder": null,
+  "model": {
+    "type": "WordPiece",
+    "unk_token": "[UNK]",
+    "continuing_subword_prefix": "##",
+    "max_input_chars_per_word": 100,
+    "vocab": {
+      "[UNK]": 0,
+      "[CLS]": 1,
+      "[SEP]": 2,
+      "[PAD]": 3,
+      "[MASK]": 4
+    }
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "hello",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "6": {
+      "content": "world",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "7": {
+      "content": "AI",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "8": {
+      "content": "data",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "9": {
+      "content": "train",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "[UNK]"
+}

vocab.txt

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+hello
+world
+AI
+data
+train