updated the app

app.py

@@ -1,43 +1,38 @@
+import torch
 import gradio as gr
-from huggingface_hub import InferenceClient
+from transformers import pipeline
 
 """
 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")
+# client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+pipe = pipeline(
+    model="gyulukeyi/llama3-nallm-qa-8B_240708",
+    torch_dtype=torch.float16,
+)
 
 
 def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
+    municipality,
+    title,
+    question,
     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]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
+    messages = [{"role": "municipality", "content": municipality}]
+    messages.append({"role": "title", "content": title})
+    messages.append({"role": "question", "content": question})
 
-    for message in client.chat_completion(
+    output = pipe(
         messages,
         max_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+    )
+    return output[0]["generated_text"]
 
-        response += token
-        yield response
 
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
@@ -45,9 +40,11 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(value="서울특별시", label="municipality"),
+        gr.Textbox(value="", label="title"),
+        gr.Textbox(value="", label="question"),
         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=0.5, step=0.05, label="Temperature"),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,
@@ -60,4 +57,4 @@ demo = gr.ChatInterface(
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()