Update app.py

app.py

@@ -1,37 +1,32 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-
-def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    hf_token: gr.OAuthToken,
-):
+# === SETTINGS YOU CAN CHANGE IN THE CODE ===
+SYSTEM_MESSAGE = "You are a chatbot that has to use gen-z slang as much as you can."
+MAX_TOKENS = 512
+TEMPERATURE = 0.7
+TOP_P = 0.95
+HF_MODEL = "openai/gpt-oss-20b"
+
+def respond(message, history: list[dict[str, str]], hf_token: gr.OAuthToken):
     """
-    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
+    Chat function using Hugging Face Inference API with preset parameters.
     """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
-
-    messages = [{"role": "system", "content": system_message}]
+    client = InferenceClient(token=hf_token.token, model=HF_MODEL)
 
+    messages = [{"role": "system", "content": SYSTEM_MESSAGE}]
     messages.extend(history)
-
     messages.append({"role": "user", "content": message})
 
     response = ""
-
-    for message in client.chat_completion(
+    for message_chunk in client.chat_completion(
         messages,
-        max_tokens=max_tokens,
+        max_tokens=MAX_TOKENS,
         stream=True,
-        temperature=temperature,
-        top_p=top_p,
+        temperature=TEMPERATURE,
+        top_p=TOP_P,
     ):
-        choices = message.choices
+        choices = message_chunk.choices
         token = ""
         if len(choices) and choices[0].delta.content:
             token = choices[0].delta.content
@@ -40,24 +35,11 @@ def respond(
         yield response
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# === GRADIO INTERFACE ===
 chatbot = gr.ChatInterface(
     respond,
     type="messages",
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
+    additional_inputs=[],  # no sliders or textboxes
 )
 
 with gr.Blocks() as demo:
@@ -65,6 +47,5 @@ with gr.Blocks() as demo:
         gr.LoginButton()
     chatbot.render()
 
-
 if __name__ == "__main__":
     demo.launch()