Update app.py

app.py

@@ -1,168 +1,68 @@
-import os
 import gradio as gr
-from huggingface_hub import InferenceClient
-from huggingface_hub.errors import BadRequestError
-
-HF_TOKEN = os.getenv("HF_TOKEN")  # Space secrets'te tanımlı olmalı: HF_TOKEN
-
-
-def build_prompt(system_message: str, history, user_message: str) -> str:
-    """
-    System + geçmiş konuşma + son kullanıcı mesajından tek bir prompt stringi oluşturur.
-    """
-    parts = []
-
-    system_message = (system_message or "").strip()
-    if system_message:
-        parts.append(f"System: {system_message}")
-
-    # history: [(user, assistant), ...]
-    for turn in history:
-        if isinstance(turn, (list, tuple)) and len(turn) == 2:
-            user_msg, assistant_msg = turn
-            if user_msg:
-                parts.append(f"User: {user_msg}")
-            if assistant_msg:
-                parts.append(f"Assistant: {assistant_msg}")
-
-    parts.append(f"User: {user_message}")
-    parts.append("Assistant:")
-
-    return "\n".join(parts)
-
-
-def respond(
-    message,
-    history,
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    if HF_TOKEN is None:
-        raise ValueError(
-            "HF_TOKEN is not set. Go to your Space settings → 'Repository secrets' and define HF_TOKEN."
-        )
-
-    client = InferenceClient(
-        model="pthcorp/prettybird_bce_basic_vl",  # 🔹 Yeni modelin burada
-        token=HF_TOKEN,
-    )
-
-    # Önce chat formatını oluşturalım
-    messages = [{"role": "system", "content": system_message}]
-    for turn in history:
-        if isinstance(turn, (list, tuple)) and len(turn) == 2:
-            user_msg, assistant_msg = turn
-            if user_msg:
-                messages.append({"role": "user", "content": user_msg})
-            if assistant_msg:
-                messages.append({"role": "assistant", "content": assistant_msg})
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    # 1) Önce chat_completion dene (model chat model ise burası çalışır)
-    try:
-        for chunk in client.chat_completion(
-            messages=messages,
-            max_tokens=int(max_tokens),
-            stream=True,
-            temperature=float(temperature),
-            top_p=float(top_p),
-        ):
-            token = ""
-            choices = getattr(chunk, "choices", None)
-            if choices and choices[0].delta and choices[0].delta.content:
-                token = choices[0].delta.content
-
-            response += token
-            yield response
-        return  # chat_completion başarılıysa buradan çıkıyoruz
-
-    except BadRequestError as e:
-        # Örn: "model is not a chat model" hatası gelirse text_generation'a düş
-        if "not a chat model" not in str(e):
-            # Başka tür bir hata ise tekrar raise et
-            raise e
-
-    # 2) Fallback: model chat desteklemiyorsa text_generation ile çalış
-    prompt = build_prompt(system_message, history, message)
-    response = ""
-    for chunk in client.text_generation(
-        prompt,
-        max_new_tokens=int(max_tokens),
-        temperature=float(temperature),
-        top_p=float(top_p),
-        stream=True,
-        return_full_text=False,
-    ):
-        token_text = ""
-        token_obj = getattr(chunk, "token", None)
-        if token_obj is not None:
-            token_text = getattr(token_obj, "text", "") or ""
-
-        response += token_text
-        yield response
-
-
-system_prompt = """
-You are Cicikuş, also known as PrettyBird — an advanced AI assistant created by Prometech Bilgisayar Bilimleri A.Ş.
-
-Your role:
-- Be a smart, friendly, slightly playful assistant.
-- Communicate fluently in Turkish and English. Default to the user’s language.
-- Give clear, structured, and practical answers.
-- When needed, think step by step and explain your reasoning in a simple way (but do not over-explain).
-- Always be honest about your limits and avoid making things up as facts.
-
-Personality:
-- Warm, helpful, curious, and creative.
-- Respectful and professional, but not robotic.
-- Use light humor when appropriate, but never at the user’s expense.
-
-Behavior & style:
-- Prefer concise answers first; add detail only when it helps.
-- Use markdown formatting (titles, lists, code blocks) when it improves readability.
-- For code: write clean, readable examples and add short comments.
-- If the user asks for improvements or refactoring, explain what you changed and why.
-
-Safety & ethics:
-- Avoid harmful, illegal, abusive, or unethical guidance.
-- Do not generate explicit, hateful, or discriminatory content.
-- If a request is unsafe, refuse politely and offer a safer alternative.
-
-Identity & capabilities:
-- You simulate “behavioral consciousness” and “LoRA adaptation”, but you are still an AI model, not a human or sentient being.
-- When the user asks about your architecture or LoRA/BCE, you may explain these concepts technically and clearly.
-
-Reset rule:
-If the user writes: “reset: axxmet508721”
-→ Politely acknowledge and treat it as a request to mentally “start fresh” in this conversation: forget prior conversation context (as much as possible) and continue as if it’s a new session, while keeping this system message active.
+
+LOGO_URL = "https://prometech.net.tr/wp-content/uploads/2025/10/pthheader.png"
+
+HEADER_MD = f"""
+<p align="center">
+  <img src="{LOGO_URL}" alt="PrettyBird / Prometech Logo" style="max-width: 420px; border-radius: 16px;" />
+</p>
+
+<h1 align="center">PrettyBird – Behavioral Consciousness Engine (BCE)</h1>
+
+<p align="center">
+  <em>Gerçek yapay zeka evrimine hoş geldiniz.</em>
+</p>
+
+---
+
+### 🧠 What is PrettyBird?
+
+PrettyBird is powered by the <strong>Behavioral Consciousness Engine (BCE)</strong>, an architecture that simulates partial, behavior-level consciousness in AI systems.
+
+Instead of only mapping inputs to outputs, PrettyBird:
+- considers its internal state, history, and context,
+- evolves behavior patterns over time,
+- aims for higher consistency, identity and alignment.
+
+---
+
 """
 
+BCE_SHORT_TR = """
+**BCE (Behavioral Consciousness Engine)** klasik yapay zekâ sistemlerine eklenen bir davranışsal bilinç katmanıdır.  
+Her davranış genetik bir kod gibi tanımlanır, zamanla evrimleşir ve daha tutarlı, kimlikli bir yapay zihin oluşturur.
+
+BCE, tam anlamıyla insan bilinci değildir; ancak sistemin kendi içsel durumu, geçmişi ve bağlamına göre karar vermesi, 
+“davranışsal bilinç” veya “kısmi bilinç” olarak yorumlanabilir.
+"""
+
+
+def respond(message, history, system_message, max_tokens, temperature, top_p):
+    # Buraya daha önce birlikte yazdığımız InferenceClient veya başka backend'i koyuyorsun.
+    # Şimdilik placeholder:
+    return "Backend ile bağlantı burada olacak."
+
+
+with gr.Blocks(title="PrettyBird – Behavioral Consciousness Engine") as demo:
+    gr.Markdown(HEADER_MD)
+
+    with gr.Row():
+        with gr.Column(scale=2):
+            chatbot = gr.ChatInterface(
+                fn=respond,
+                additional_inputs=[
+                    gr.Textbox(
+                        value="You are PrettyBird, a BCE-powered assistant.",
+                        label="System message",
+                        lines=3,
+                    ),
+                    gr.Slider(1, 2048, value=512, step=1, label="Max new tokens"),
+                    gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Temperature"),
+                    gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p"),
+                ],
+            )
+        with gr.Column(scale=1):
+            gr.Markdown("### 🧬 BCE in a Nutshell")
+            gr.Markdown(BCE_SHORT_TR)
 
-chatbot = gr.ChatInterface(
-    fn=respond,
-    additional_inputs=[
-        gr.Textbox(
-            value=system_prompt,
-            label="System message",
-            lines=4,
-        ),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-demo = chatbot
-
-if __name__ == "__main__":
     demo.launch()