Update app.py

app.py

@@ -1,29 +1,40 @@
+APP.PY sahi UI wala 
 import gradio as gr
 from huggingface_hub import InferenceClient
 import os
 
 HF_TOKEN = os.getenv("HF_TOKEN")
 
-def respond(message, history):
+def respond(message, history: list[dict[str, str]]):
     client = InferenceClient(token=HF_TOKEN, model="openai/gpt-oss-20b")
+
     messages = [{"role": "system", "content": "You are a friendly chatbot."}]
-    for h in history:
-        messages.append({"role": "user", "content": h[0]})
-        messages.append({"role": "assistant", "content": h[1]})
+    messages.extend(history)
     messages.append({"role": "user", "content": message})
 
     response = ""
-    for msg in client.chat_completion(messages, max_tokens=200, stream=True):
+    for msg in client.chat_completion(
+        messages,
+        max_tokens=512,
+        stream=True,
+        temperature=0.7,
+        top_p=0.95
+    ):
         if msg.choices and msg.choices[0].delta.content:
             response += msg.choices[0].delta.content
-    return response
+        yield response
+
+
+# Purple + White/Grey Theme CSS
+custom_css = """
+.gradio-container {
+    background: linear-gradient(to bottom right, #7E498B, #f5f5f5);
+    font-family: 'Segoe UI', sans-serif;
+}
+"""
 
-# 👇 Is tarah expose karo
-demo = gr.Interface(
-    fn=respond,
-    inputs=["text", "state"],   # API schema ke liye
-    outputs="text"
-)
+with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
+    gr.ChatInterface(respond, type="messages")   
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(share=True)