remove additional inputs

app.py

@@ -1,69 +1,47 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+# ---- System prompt and model ----
 with open("system_prompt.txt", "r") as f:
     SYSTEM_PROMPT = f.read()
 
 MODEL_NAME = "HuggingFaceH4/zephyr-7b-beta"
-
-"""
-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
-"""
 client = InferenceClient(MODEL_NAME)
 
-
-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]})
-
+# ---- Fixed parameters ----
+MAX_TOKENS = 512
+TEMPERATURE = 0.7
+TOP_P = 0.95
+
+def respond(message, history):
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
+    
+    for user_msg, bot_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if bot_msg:
+            messages.append({"role": "assistant", "content": bot_msg})
+    
     messages.append({"role": "user", "content": message})
-
     response = ""
 
-    for message in client.chat_completion(
+    for 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,
     ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
+        token = chunk.choices[0].delta.content
+        if token:
+            response += token
+            yield response
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# ---- Simple chat interface ----
 demo = gr.ChatInterface(
     respond,
-    additional_inputs=[
-        gr.Textbox(value=SYSTEM_PROMPT, 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)",
-        ),
-    ],
+    title="BoundrAI",
 )
 
-
 if __name__ == "__main__":
     demo.launch()