Prevented a log from being tracked, made some minor fixes.

Added code to visual her best dreams
2025-04-16 13:22:29 -04:00 · 2025-04-16 11:23:26 -04:00
4 changed files with 24 additions and 3 deletions
--- a/.gitignore
+++ b/.gitignore
@ -169,4 +169,5 @@ cython_debug/
 #.idea/

 /tokenizer_vocab.txt
-/logs/core_dreams.txt
+/logs/core_dreams.txt
+/logs/best_dream.txt
--- a/dashboard.py
+++ b/dashboard.py
@ -12,6 +12,13 @@ def tail(filepath, num_lines=10):
        return f.readlines()[-num_lines:]


+def get_best_dream():
+    if not os.path.exists("logs/best_dream.txt"):
+        return "No high-scoring dream yet."
+    with open("logs/best_dream.txt", encoding="utf-8") as f:
+        return f.read().strip()
+
+
@app.route("/")
 def home():
    vocab_size = 0
@ -22,6 +29,7 @@ def home():
    dreams = [line.strip() for line in tail("logs/dreams.log", 10)]
    messages = [line.strip() for line in tail("logs/messages.log", 10)]
    errors = [line.strip() for line in tail("logs/error.log", 15)]
+    best_dream = get_best_dream()

    return render_template_string("""
    <!DOCTYPE html>
@ -39,6 +47,8 @@ def home():
    <body>
        <h1>🌸 Ruby's Dashboard</h1>
        <p><b>Vocabulary Size:</b> {{ vocab_size }}</p>
+        <h3>🏆 Highest Scoring Dream</h3>
+        <p><b>{{ best_dream }}</b></p>

        <h3>🧠 Recent Daydreams</h3>
        <ul>
@ -60,9 +70,10 @@ def home():
 {{ err }}
        {% endfor %}
        </pre>
+
    </body>
    </html>
-    """, dreams=dreams[::-1], messages=messages[::-1], errors=errors[::-1], vocab_size=vocab_size)
+    """, best_dream=best_dream, dreams=dreams[::-1], messages=messages[::-1], errors=errors[::-1], vocab_size=vocab_size)


 def start_dashboard():
--- a/state_tracker.py
+++ b/state_tracker.py
@ -1,5 +1,6 @@
 from datetime import datetime

+
 class RubyState:
    def __init__(self):
        self.last_message_time = datetime.utcnow()
--- a/trainer.py
+++ b/trainer.py
@ -19,6 +19,7 @@ class RubyTrainer:
        self.criterion = torch.nn.CrossEntropyLoss()

        self.rebuild_model_if_needed()
+        self.best_dream = ("", 0.0)

    def rebuild_model_if_needed(self):
        vocab_size = len(self.tokenizer.vocab)
@ -156,7 +157,8 @@ class RubyTrainer:

                score_raw = self.score_sentence(raw)
                score_re = self.score_sentence(rephrased)
-
+                if score_re >= self.best_dream[1]:
+                    self.best_dream = (rephrased.strip(), score_re)
                final = rephrased if score_re >= score_raw else raw

            self.train_on_tokens_from_text(final)
@ -182,6 +184,8 @@ class RubyTrainer:
                f.write(f"{datetime.utcnow().isoformat()} | Ruby | {t}\n")

        print(f"[DAYDREAM] Complete. {len(thoughts)} thoughts imagined.")
+        with open("logs/best_dream.txt", "w", encoding="utf-8") as f:
+            f.write(f"{self.best_dream[1]:.2f} | {self.best_dream[0]}\n")

        if say_thought and thoughts:
            return thoughts[-1]
@ -246,4 +250,8 @@ class RubyTrainer:
        if len(set(words)) > len(words) * 0.75:
            score += 1  # diversity bonus

+        word_counts = {w: words.count(w) for w in set(words)}
+        if any(count >= 3 for count in word_counts.values()):
+            score -= 1  # repetition penalty
+
        return score  # max 5.0
Author	SHA1	Message	Date
Dani	ba126bbce3	Prevented a log from being tracked, made some minor fixes.	2025-04-16 13:22:29 -04:00
Dani	6eb63097fa	Added code to visual her best dreams	2025-04-16 11:23:26 -04:00