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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()
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