Update app.py

app.py

@@ -1,53 +1,20 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
 
-client = InferenceClient("CosmosRP-8k")
-
-def respond(
-    message,
-    history,
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
+def respond(val):
+    if len(val) > 1:
         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
+            # do something
+            pass
+    else:
+        # handle the case where val has only one element
+        pass
 
 demo = gr.Interface(
     fn=respond,
-    inputs=[
-        gr.Textbox(label="메시지"),
-        gr.Textbox(label="시스템 메시지"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="최대 새로운 토큰"),
-        gr.Slider(minimum=0.1, maximum=4.0, 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 (Nucleus Sampling)"),
-    ],
+    inputs="text",
     outputs="text",
-    title="채팅봇",
-    description="이 채팅봇은 Hugging Face의 CosmosRP-8k 모델에 의해 구동됩니다.",
+    title="My App",
+    description="This is my app"
 )
 
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()