| import os |
| import gradio as gr |
| import torch |
| from openai import OpenAI |
|
|
| from diffusers import StableDiffusionPipeline, EulerAncestralDiscreteScheduler |
|
|
| |
| HF_TOKEN = os.getenv("HF_TOKEN") |
|
|
| client = OpenAI( |
| base_url="https://router.huggingface.co/v1", |
| api_key=HF_TOKEN, |
| ) |
|
|
| CHAT_MODEL = "HuggingFaceTB/SmolLM3-3B:hf-inference" |
| SYSTEM = "Sen MAIND AI'sin. Kısa, net ve yardımcı cevap ver." |
|
|
| def llm_reply(user_text: str) -> str: |
| resp = client.chat.completions.create( |
| model=CHAT_MODEL, |
| messages=[ |
| {"role": "system", "content": SYSTEM}, |
| {"role": "user", "content": user_text}, |
| ], |
| temperature=0.7, |
| max_tokens=300, |
| ) |
| return (resp.choices[0].message.content or "").strip() |
|
|
| def chat_fn(message, history): |
| history = history or [] |
| history.append({"role": "user", "content": message}) |
| try: |
| reply = llm_reply(message) |
| except Exception as e: |
| reply = f"⚠️ Chat hata: {e}" |
| history.append({"role": "assistant", "content": reply}) |
| return history, "" |
|
|
| |
| IMG_MODEL = "segmind/tiny-sd" |
| img_pipe = None |
|
|
| def get_pipe(): |
| global img_pipe |
| if img_pipe is None: |
| pipe = StableDiffusionPipeline.from_pretrained( |
| IMG_MODEL, |
| torch_dtype=torch.float32, |
| ) |
| pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config) |
| pipe.enable_attention_slicing() |
| pipe = pipe.to("cpu") |
| img_pipe = pipe |
| return img_pipe |
|
|
| def gen_image(prompt: str, steps: int, size: int): |
| if not prompt or not prompt.strip(): |
| raise gr.Error("Prompt boş.") |
| pipe = get_pipe() |
| with torch.inference_mode(): |
| out = pipe( |
| prompt=prompt, |
| num_inference_steps=int(steps), |
| guidance_scale=6.5, |
| height=int(size), |
| width=int(size), |
| ) |
| return out.images[0] |
|
|
| |
| CSS = """ |
| :root{--bg:#050b1a;--panel:#0a1636;--stroke:rgba(56,189,248,.25);--txt:#e6f1ff;--muted:#93c5fd;} |
| body,.gradio-container{background:radial-gradient(1200px 800px at 20% 0%, rgba(56,189,248,.18), transparent 55%),var(--bg)!important;color:var(--txt)!important;} |
| #wrap{max-width:1100px;margin:0 auto;} |
| #topbar{display:flex;align-items:center;gap:14px;padding:14px 16px;background:rgba(10,22,54,.75);border:1px solid var(--stroke);border-radius:16px;} |
| #card{margin-top:14px;padding:14px;background:rgba(10,22,54,.55);border:1px solid var(--stroke);border-radius:18px;} |
| button{border-radius:14px!important;} |
| textarea,input{background:rgba(5,11,26,.55)!important;border:1px solid rgba(56,189,248,.22)!important;color:var(--txt)!important;} |
| """ |
|
|
| with gr.Blocks(css=CSS, title="MaindAI") as demo: |
| with gr.Column(elem_id="wrap"): |
| with gr.Row(elem_id="topbar"): |
| gr.Image("logo.png", show_label=False, height=58, width=58, container=False) |
| gr.Markdown("## 💙 MAIND AI\n<small style='color:#93c5fd'>Chat + Görsel (HF Space CPU)</small>") |
|
|
| with gr.Row(elem_id="card"): |
| |
| with gr.Column(scale=6): |
| gr.Markdown("### 💬 Chat") |
| chatbot = gr.Chatbot(value=[], height=420) |
| msg = gr.Textbox(placeholder="Bir şey sor…", show_label=False) |
| send = gr.Button("Gönder") |
| send.click(chat_fn, [msg, chatbot], [chatbot, msg]) |
| msg.submit(chat_fn, [msg, chatbot], [chatbot, msg]) |
|
|
| |
| with gr.Column(scale=5): |
| gr.Markdown("### 🎨 Görsel Üret") |
| img_prompt = gr.Textbox(placeholder="Örn: neon mavi cyberpunk şehir, yağmur, gece", show_label=False) |
| with gr.Row(): |
| steps = gr.Slider(2, 12, value=6, step=1, label="Steps (hız)") |
| size = gr.Slider(256, 512, value=384, step=64, label="Boyut") |
| img_btn = gr.Button("Görsel Oluştur") |
| img_out = gr.Image(height=420) |
| img_btn.click(gen_image, [img_prompt, steps, size], img_out) |
|
|
| demo.launch() |
|
|
