Create core.py

core.py

@@ -0,0 +1,51 @@
+import time
+import sys
+import os
+from transformers import pipeline, set_seed
+
+# Initialize Hugging Face text generation pipeline
+generator = pipeline("text-generation", model="flux-dev")  # You can swap this with another HF model
+set_seed(42)
+
+# Simulate typing output
+def type_out(text, speed=0.02):
+    for char in text:
+        sys.stdout.write(char)
+        sys.stdout.flush()
+        time.sleep(speed)
+    print()
+
+# Clear terminal screen
+def clear_screen():
+    os.system('cls' if os.name == 'nt' else 'clear')
+
+# Generate AI response using HF pipeline
+def codette_generate(prompt: str) -> str:
+    output = generator(prompt, max_length=100, num_return_sequences=1)
+    return output[0]['generated_text']
+
+# Launch the terminal interface
+def launch_codette_terminal():
+    clear_screen()
+    type_out("🧬 Welcome to Codette Terminal (Hugging Face Edition) 🧬", 0.03)
+    type_out("Ask anything. Type 'exit' to quit.\n", 0.02)
+
+    while True:
+        try:
+            user_input = input("🖋️ You > ").strip()
+            if user_input.lower() in ['exit', 'quit']:
+                type_out("\n🧠 Codette signing off... Stay recursive 🌀\n", 0.04)
+                break
+            elif not user_input:
+                continue
+            type_out("💭 Thinking...", 0.04)
+            time.sleep(1)
+            response = codette_generate(user_input)
+            type_out(response.strip(), 0.01)
+        except KeyboardInterrupt:
+            print("\n[Interrupted] Use 'exit' to quit.\n")
+        except Exception as e:
+            type_out(f"[Error] {e}", 0.01)
+
+if __name__ == "__main__":
+    launch_codette_terminal()