Update app.py

app.py

@@ -1,48 +1,61 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import traceback
+import os
+
+# Hugging Face API 토큰을 환경 변수에서 가져옵니다.
+hf_token = os.getenv("HF_TOKEN")
 
 def respond(message, history, system_message, max_tokens, temperature, top_p, selected_model):
-    client = InferenceClient(selected_model)
-    
-    messages = [{"role": "system", "content": system_message}]
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-    messages.append({"role": "user", "content": message})
-    
-    response = ""
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-        response += token
-        yield response
+    try:
+        # API 토큰을 사용하여 InferenceClient를 초기화합니다.
+        client = InferenceClient(model=selected_model, token=hf_token)
+        
+        messages = [{"role": "system", "content": system_message}]
+        for val in history:
+            if val[0]:
+                messages.append({"role": "user", "content": val[0]})
+            if val[1]:
+                messages.append({"role": "assistant", "content": val[1]})
+        messages.append({"role": "user", "content": message})
+        
+        response = ""
+        for message in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            token = message.choices[0].delta.content
+            response += token
+            yield response
+    except Exception as e:
+        error_msg = f"오류 발생: {str(e)}\n\n상세 오류:\n{traceback.format_exc()}"
+        yield error_msg
 
+# 모델 목록 (무료 및 유료 모델 포함)
 models = {
     "deepseek-ai/DeepSeek-Coder-V2-Instruct": "DeepSeek-Coder-V2-Instruct",
     "CohereForAI/c4ai-command-r-plus": "Cohere Command-R Plus",
     "meta-llama/Meta-Llama-3.1-8B-Instruct": "Meta-Llama-3.1-8B-Instruct",
     "bartowski/DeepSeek-V2-Chat-0628-GGUF": "DeepSeek-V2-Chat-0628-GGUF",
     "google/gemma-7b": "Gemma-7b",
-    "openai-community/gpt2": "gpt2"
+    "openai-community/gpt2": "GPT-2"
 }
 
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="시스템 메시지"),
+        gr.Textbox(value="당신은 친절한 챗봇입니다.", label="시스템 메시지"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="최대 새 토큰 수"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="온도"),
+        gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.1, label="온도"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (핵 샘플링)"),
         gr.Radio(list(models.keys()), value=list(models.keys())[0], label="언어 모델 선택", info="사용할 언어 모델을 선택하세요")
     ],
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    if not hf_token:
+        print("경고: HF_TOKEN 환경 변수가 설정되지 않았습니다. 일부 모델에 접근할 수 없을 수 있습니다.")
+    demo.launch(share=True)  # public link 생성