Update app.py

app.py

@@ -1,12 +1,12 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-from peft import PeftModel, PeftConfig
-from transformers import AutoModelForCausalLM
+"""
+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("HuggingFaceH4/zephyr-7b-beta")
+
 
-config = PeftConfig.from_pretrained("LLMproj1/mypersona-llama3-8b")
-base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit")
-model = PeftModel.from_pretrained(base_model, "LLMproj1/mypersona-llama3-8b")
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -27,7 +27,7 @@ def respond(
 
     response = ""
 
-    for message in model.generate(
+    for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
         stream=True,