File size: 1,830 Bytes
2de9fb7 1b0b559 2de9fb7 1b0b559 2de9fb7 1b0b559 2de9fb7 1b0b559 2de9fb7 1b0b559 2de9fb7 1b0b559 2de9fb7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | import os
import gradio as gr
from llama_cpp import Llama
from huggingface_hub import hf_hub_download
HF_REPO = "misukisu/kFlash-1.3"
GGUF_FILE = "kFlash.gguf"
print("Ladataan mallia HF:stä...")
model_path = hf_hub_download(repo_id=HF_REPO, filename=GGUF_FILE)
print(f"✓ Malli ladattu: {model_path}")
SYSTEM_PROMPT = (
"Olet kFlash 1.3, Kreatixin tekemä tekoälymalli. Et ole Gemma etkä mikään "
"Googlen malli. Kreatix löytyy TikTokista (@kreatix.dev) ja X:stä (@KreatixDev). "
"Puhut rentona, puhekielisesti, saat kiroilla luontevasti."
)
llm = Llama(
model_path=model_path,
n_ctx=2048,
n_threads=2,
verbose=False,
)
def respond(message, history):
messages = [{"role": "system", "content": SYSTEM_PROMPT}]
for user_msg, bot_msg in history:
messages.append({"role": "user", "content": user_msg})
if bot_msg:
messages.append({"role": "assistant", "content": bot_msg})
messages.append({"role": "user", "content": message})
response = llm.create_chat_completion(
messages=messages,
max_tokens=512,
temperature=0.8,
top_p=0.9,
)
return response["choices"][0]["message"]["content"]
with gr.Blocks(title="kFlash 1.3") as demo:
gr.Markdown("## 🤖 kFlash 1.3 — Kreatix")
with gr.Row():
chatbot = gr.Chatbot(height=500)
with gr.Row():
msg = gr.Textbox(label="Viesti", scale=4, placeholder="Kirjoita jotain...")
clear = gr.Button("Tyhjennä", scale=1)
def chat(message, chat_history):
response = respond(message, chat_history)
chat_history.append((message, response))
return "", chat_history
msg.submit(chat, [msg, chatbot], [msg, chatbot])
clear.click(lambda: None, None, chatbot, queue=False)
demo.queue().launch()
|