upd app.py

app.py

@@ -10,10 +10,7 @@ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
+    system_message
 ):
     messages = [{"role": "system", "content": system_message}]
 
@@ -29,10 +26,10 @@ def respond(
 
     for message in client.chat_completion(
         messages,
-        max_tokens=max_tokens,
+        max_tokens=1024,
         stream=True,
-        temperature=temperature,
-        top_p=top_p,
+        temperature=0.5,
+        top_p=0.1,
     ):
         token = message.choices[0].delta.content
 
@@ -49,7 +46,19 @@ demo = gr.ChatInterface(
     additional_inputs=[
         gr.Textbox(value="if the prompt is 'найди то, что ещё не изучено', ask 'в какой области лингвистики или литературоведения?' after getting the answer, find the research gap using the given information and using both Google Scholar and Academia.edu and then formalize it as a bulleted list with 2-8 points", label="System message"),
     ],
-    title="Research Gap Bot"
+    title="Research Gap Bot",
+    css="""
+body {
+  margin: 0;
+  font-family: Arial, sans-serif;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background: linear-gradient(135deg, #f8a8a8, #fdd9a8);
+  overflow: hidden;
+}
+"""
 )