diff --git a/web_demo.py b/web_demo.py
index 8b37b02..9f812cf 100755
--- a/web_demo.py
+++ b/web_demo.py
@@ -9,12 +9,23 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 from transformers.generation import GenerationConfig
 import sys
 
-tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-7B-Chat", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B-Chat", device_map="auto", trust_remote_code=True).eval()
-model.generation_config = GenerationConfig.from_pretrained("Qwen/Qwen-7B-Chat", trust_remote_code=True) 
+tokenizer = AutoTokenizer.from_pretrained(
+    "Qwen/Qwen-7B-Chat", trust_remote_code=True, resume_download=True
+)
+model = AutoModelForCausalLM.from_pretrained(
+    "Qwen/Qwen-7B-Chat",
+    device_map="auto",
+    offload_folder="offload",
+    trust_remote_code=True,
+    resume_download=True,
+).eval()
+model.generation_config = GenerationConfig.from_pretrained(
+    "Qwen/Qwen-7B-Chat", trust_remote_code=True, resume_download=True
+)
 
 if len(sys.argv) > 1 and sys.argv[1] == "--exit":
-    exit(0)
+    sys.exit(0)
+
 
 def postprocess(self, y):
     if y is None:
@@ -58,21 +69,26 @@ def parse_text(text):
                     line = line.replace("(", "(")
                     line = line.replace(")", ")")
                     line = line.replace("$", "$")
-                lines[i] = "<br>"+line
+                lines[i] = "<br>" + line
     text = "".join(lines)
     return text
 
-def predict(input, chatbot, history, past_key_values):
+
+task_history = []
+
+
+def predict(input, chatbot):
     print('Q: ' + parse_text(input))
     chatbot.append((parse_text(input), ""))
-    fullResponse = "";
+    fullResponse = ""
 
-    for response in model.chat(tokenizer, input, history=history, stream=True):
+    for response in model.chat(tokenizer, input, history=task_history, stream=True):
         chatbot[-1] = (parse_text(input), parse_text(response))
 
-        yield chatbot, history, past_key_values
-        fullResponse = parse_text(response);
-    
+        yield chatbot
+        fullResponse = parse_text(response)
+
+    task_history.append((input, fullResponse))
     print("A: " + parse_text(fullResponse))
 
 
@@ -81,7 +97,8 @@ def reset_user_input():
 
 
 def reset_state():
-    return [], [], None
+    task_history = []
+    return []
 
 
 with gr.Blocks() as demo:
@@ -91,19 +108,16 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column(scale=4):
             with gr.Column(scale=12):
-                user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10).style(
-                    container=False)
+                query = gr.Textbox(
+                    show_label=False, placeholder="Input...", lines=10
+                ).style(container=False)
             with gr.Column(min_width=32, scale=1):
                 submitBtn = gr.Button("Submit", variant="primary")
         with gr.Column(scale=1):
             emptyBtn = gr.Button("Clear History")
 
-    history = gr.State([])
-    past_key_values = gr.State(None)
-
-    submitBtn.click(predict, [user_input, chatbot, history, past_key_values],
-                    [chatbot, history, past_key_values], show_progress=True)
-    submitBtn.click(reset_user_input, [], [user_input])
-    emptyBtn.click(reset_state, outputs=[chatbot, history, past_key_values], show_progress=True)
+    submitBtn.click(predict, [query, chatbot], [chatbot], show_progress=True)
+    submitBtn.click(reset_user_input, [], [query])
+    emptyBtn.click(reset_state, outputs=[chatbot], show_progress=True)
 
 demo.queue().launch(share=False, inbrowser=True, server_port=80, server_name="0.0.0.0")