Update app.py

app.py

@@ -1,19 +1,9 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-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("meta-llama/Meta-Llama-3-8B-Instruct")
-# client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# Initialize the InferenceClient with the chosen model
 client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 
-# client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct" , "HPAI-BSC/Llama3-Aloe-8B-Alpha")
-# client = InferenceClient("Xenova/gpt-4o")
-# client = InferenceClient("mistralai/mamba-codestral-7B-v0.1")
-# client = InferenceClient("deepseek-ai/DeepSeek-Coder-V2-Instruct")
-
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -24,16 +14,14 @@ def respond(
 ):
     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]})
+    for user_msg, bot_msg in history:
+        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(
         messages,
         max_tokens=max_tokens,
@@ -42,17 +30,14 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Setup the Gradio interface
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.your name is QuizBot , you are a code expert . output everything in .json format . ", label="System message"),
+        gr.Textbox(value="You are a friendly Chatbot. Your name is QuizBot, you are a code expert. Output everything in JSON format.", 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(
@@ -65,6 +50,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
-    demo.launch(show_error=True)
+    demo.launch(show_error=True)