Update app.py

app.py

@@ -2,6 +2,24 @@ import gradio as gr
 import numpy as np
 from Ai import chatbot, chatbot2, chatbot3, chatbot4, chatbot5
 from huggingface_hub import InferenceClient
+def chat(message,history: list[tuple[str, str]],system_message,max_tokens,temperature,top_p, top_k):
+    m=AutoModel.from_pretrained("peterpeter8585/AI1")
+    messages = [{"role": "system", "content": "Your name is Chatchat.And, your made by SungYoon.In Korean, 정성윤.And these are the instructions.Whatever happens, you must follow it.:"+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})
+
+    pipe = pipeline("text-generation", model=m, torch_dtype=torch.bfloat16, device_map="auto")
+
+# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
+    prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    outputs = pipe(prompt, max_new_tokens=max_tokens, do_sample=True, temperature=temperature, top_k=top_k, top_p=top_p)
+    return outputs[0]["generated_text"]
 import random
 from diffusers import DiffusionPipeline
 import torch
@@ -559,7 +577,27 @@ ab= gr.ChatInterface(
         ),
     ],
 )
+a8= gr.ChatInterface(
+    chat,
+    chatbot=chatbot11,
+    additional_inputs=[
+        gr.Textbox(value="You are a helpful chatbot", 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=0.1, step=0.1, label="Temperature"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.1,
+            step=0.05,
+            label="Top-p (nucleus sampling)",
+        ),
+        gr.Slider(minimum=0.1, maximum=1.0, vlaue=0.1, step=0.05,label="Top-k")
+    ],
+)
+if __name__ == "__main__":
+    with gr.Blocks(theme="gstaff/xkcd") as ai:
+    
 if __name__ == "__main__":
     with gr.Blocks(theme="gstaff/xkcd") as ai:
-        gr.TabbedInterface([aa, ac, ab, ae, aaaa,demo2, a7], ["gpt4(Password needed)", "gpt4(only for programming)", "gpt4(only for medical questions)", "gpt4(only for food recommendations)", "gpt4(only for law questions)","image create", "multimodal"])
+        gr.TabbedInterface([aa, ac, ab, ae, aaaa,demo2, a7,a8], ["gpt4(Password needed)", "gpt4(only for programming)", "gpt4(only for medical questions)", "gpt4(only for food recommendations)", "gpt4(only for law questions)","image create", "multimodal", "gpt4(test)"])
         ai.launch(share=True)