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app_minimal.py

@@ -0,0 +1,9 @@
+import gradio as gr
+
+def greet(name):
+    return f"안녕하세요, {name}님!"
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text", title="KAIdol Test")
+
+if __name__ == "__main__":
+    demo.launch()

app_simple.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+"""KAIdol A/B Test Arena - Simple Version"""
+
+import gradio as gr
+
+def chat_response(message, character):
+    """Mock 응답 생성"""
+    thinking = f"<think>{character}의 입장에서 생각해보면... 이 메시지에 어떻게 반응해야 할까?</think>"
+    response = f"안녕~ 반가워! 나는 {character}야~"
+    return f"{thinking}\n\n{response}"
+
+# 캐릭터 목록
+CHARACTERS = ["강율", "서이안", "이지후", "차도하", "최민"]
+
+# 모델 목록
+MODELS = [
+    "hyperclovax-32b-dpo-v5",
+    "qwen2.5-14b-dpo-v5",
+    "qwen2.5-7b-dpo-v5",
+    "exaone-7.8b-dpo-v5",
+]
+
+with gr.Blocks(title="KAIdol A/B Test Arena") as demo:
+    gr.Markdown("# KAIdol A/B Test Arena")
+    gr.Markdown("K-pop 아이돌 롤플레이 모델 A/B 비교 평가")
+    gr.Markdown("**Mock 모드**: 실제 모델 없이 테스트 응답을 생성합니다.")
+
+    with gr.Row():
+        character = gr.Dropdown(choices=CHARACTERS, value="강율", label="캐릭터")
+        model_a = gr.Dropdown(choices=MODELS, value=MODELS[0], label="Model A")
+        model_b = gr.Dropdown(choices=MODELS, value=MODELS[1], label="Model B")
+
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("### Model A")
+            response_a = gr.Textbox(label="응답", lines=5)
+        with gr.Column():
+            gr.Markdown("### Model B")
+            response_b = gr.Textbox(label="응답", lines=5)
+
+    user_input = gr.Textbox(label="메시지", placeholder="아이돌에게 메시지를 보내세요...")
+    submit_btn = gr.Button("전송", variant="primary")
+
+    def generate(msg, char, ma, mb):
+        return chat_response(msg, char), chat_response(msg, char)
+
+    submit_btn.click(
+        fn=generate,
+        inputs=[user_input, character, model_a, model_b],
+        outputs=[response_a, response_b]
+    )
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)

requirements.txt

@@ -5,9 +5,9 @@ huggingface_hub>=0.21.0
 pyyaml
 pandas
 
-# ML dependencies - CUDA 12.1 torch
-torch==2.1.0+cu121
-transformers>=4.40.0
+# ML dependencies - CUDA 12.1 torch (2.2.0+ for pytree compatibility)
+torch==2.2.0+cu121
+transformers>=4.40.0,<4.46.0
 accelerate>=0.27.0
 bitsandbytes>=0.43.0
 peft>=0.10.0