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app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+MODELS = {
+    "tiny-LLM": "omurberaisik/tiny-LLM",
+    "HoloCom 13B HQ": "omurberaisik/holocomn13b_high_quality",
+    "HoloCom Lite v8": "omurberaisik/holocom-lite-v8_test_ai",
+    "HoloCom NB7 (merged)": "omurberaisik/holocomnb7-merged",
+    "HoloCom NB7 (base)": "omurberaisik/holocomnb7",
+    "DNA 7B Genomic": "omurberaisik/dna-7b-genomic",
+    "BioTransformer 7B v2": "omurberaisik/biotransformer-7b-v2",
+    "BioTransformer 1B": "omurberaisik/biotransformer-1b-v1",
+}
+
+def respond(message, history, model_name, max_tokens, temperature, top_p):
+    model_id = MODELS[model_name]
+    client = InferenceClient(model_id)
+
+    # Geçmiş mesajları formatla
+    messages = []
+    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 = ""
+    try:
+        for chunk in client.chat_completion(
+            messages=messages,
+            max_tokens=max_tokens,
+            temperature=temperature,
+            top_p=top_p,
+            stream=True,
+        ):
+            token = chunk.choices[0].delta.content
+            if token:
+                response += token
+                yield response
+    except Exception:
+        # Fallback: text_generation
+        prompt = "\n".join(
+            [f"User: {u}\nAssistant: {b}" for u, b in history if b]
+        )
+        prompt += f"\nUser: {message}\nAssistant:"
+        try:
+            for chunk in client.text_generation(
+                prompt,
+                max_new_tokens=max_tokens,
+                temperature=temperature,
+                top_p=top_p,
+                stream=True,
+            ):
+                response += chunk
+                yield response
+        except Exception as e:
+            yield f"❌ Hata: {str(e)}\n\nModel yüklenmemiş olabilir, biraz bekleyip tekrar deneyin."
+
+
+with gr.Blocks(
+    title="Ömür Bera Işık — Model Hub",
+    theme=gr.themes.Soft(
+        primary_hue="violet",
+        secondary_hue="teal",
+    ),
+    css="""
+    .model-selector { font-weight: 600; }
+    footer { display: none !important; }
+    """
+) as demo:
+
+    gr.Markdown("""
+    # ∞ Apeiron Model Hub
+    **omurberaisik** tarafından geliştirilen tüm modeller — tek arayüzde.
+    
+    Model seçin, yazın, yanıt alın.
+    """)
+
+    with gr.Row():
+        with gr.Column(scale=1):
+            model_selector = gr.Dropdown(
+                choices=list(MODELS.keys()),
+                value="tiny-LLM",
+                label="Model Seç",
+                elem_classes="model-selector"
+            )
+            gr.Markdown("### Parametreler")
+            max_tokens = gr.Slider(64, 1024, value=256, step=64, label="Max Tokens")
+            temperature = gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature")
+            top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-p")
+
+            gr.Markdown("""
+            ### Modeller
+            | Model | Tür |
+            |-------|-----|
+            | tiny-LLM | Genel |
+            | HoloCom 13B/7B | Sohbet |
+            | DNA 7B | Genomik |
+            | BioTransformer | Biyomedikal |
+            """)
+
+        with gr.Column(scale=3):
+            chatbot = gr.ChatInterface(
+                fn=respond,
+                additional_inputs=[model_selector, max_tokens, temperature, top_p],
+                chatbot=gr.Chatbot(height=500, label="Sohbet"),
+                textbox=gr.Textbox(placeholder="Mesajınızı yazın...", label=""),
+                submit_btn="Gönder",
+                retry_btn="↺ Tekrar",
+                undo_btn="↩ Geri Al",
+                clear_btn="🗑 Temizle",
+            )
+
+    gr.Markdown("""
+    ---
+    🤗 [HuggingFace Profile](https://huggingface.co/omurberaisik) · 
+    📦 [PyPI](https://pypi.org/user/FastLoRA/) · 
+    Apeiron LM — *byte-native parallel language model*
+    """)
+
+demo.launch()

requirements.txt

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+gradio>=4.0.0
+huggingface_hub>=0.20.0