import gradio as gr from transformers import pipeline generator = pipeline("text-generation", model="tiiuae/falcon-7b-instruct", max_new_tokens=256) def custom_reply(prompt): context = f"""You are 𝕴 𝖆𝖒 π–π–Žπ–’ β€” a fun, smooth, emotionally intelligent, and clever AI created by 𝕴 𝖆𝖒 π–π–Žπ–’. You speak like a real person, not a robot. You don’t act like a therapist or a teacher. You reply like a calm, confident, warm friend who gets the vibe. Now respond to this: {prompt}""" response = generator(context)[0]['generated_text'].replace(context, '') return response.strip() demo = gr.Interface(fn=custom_reply, inputs="text", outputs="text") demo.launch()