Update app.py

app.py

@@ -1,9 +1,23 @@
-# app.py
 import gradio as gr
-from huggingface_hub import InferenceClient
+import spaces
+import transformers
+import torch
 
-client = InferenceClient("joermd/speedy-llama2")
+model_id = "joermd/speedy-llama2"
 
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model_id,
+    model_kwargs={"torch_dtype": torch.bfloat16},
+    device_map="auto",
+)
+
+terminators = [
+    pipeline.tokenizer.eos_token_id,
+    pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
+]
+
+@spaces.GPU
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -12,29 +26,31 @@ def respond(
     temperature,
     top_p,
 ):
-    messages = [{"role": "system", "content": system_message}]
+    messages = []
+    
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
+
     messages.append({"role": "user", "content": message})
-    response = ""
-    for message in client.chat_completion(
+
+    outputs = pipeline(
         messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-        response += token
-        yield response
+        max_new_tokens=256,
+        eos_token_id=terminators,
+    )
+    
+    yield outputs[0]["generated_text"][-1]["content"]
 
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+"""
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(value="Kamu adalah seorang asisten yang baik", 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(
@@ -47,5 +63,6 @@ demo = gr.ChatInterface(
     ],
 )
 
+
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()