Update app.py

app.py

@@ -9,7 +9,14 @@ body {
   background-position: center;
   background-repeat: no-repeat;
 }
-
+.gradio-container {
+  display: flex;
+  flex-direction: column;
+  justify-content: center;
+  min-height: 100vh;
+  padding-top: 2rem;
+  padding-bottom: 2rem;
+}
 #custom-title {
   color: #d63384;
   font-family: 'Playfair Display', serif;
@@ -31,22 +38,44 @@ body {
   box-shadow: 0 0 12px rgba(0, 0, 0, 0.3);
   overflow-y: auto;
 }
+.gradio-container .chatbot h1 {
+  color: var(--custom-title-color) !important;
+  font-family: 'Playfair Display', serif !important;
+  font-size: 1.8rem !important;
+  font-weight: bold !important;
+  text-align: center !important;
+  margin-bottom: 1rem !important
+}
 """
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-def respond(message, history):
-    messages = [{"role": "system", "content": "You are a helpful French tutor."}]
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    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]})
         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