Update app.py

app.py

@@ -70,15 +70,13 @@ def parse_text(text):
     return text
 
 
-def predict(input, chatbot, max_length, top_p, temperature, history, past_key_values):
+def predict(input, chatbot, max_length, top_p, temperature, history):
     chatbot.append((parse_text(input), ""))
-    for response, history, past_key_values in model.stream_chat(tokenizer, input, history, past_key_values=past_key_values,
-                                                                return_past_key_values=True,
-                                                                max_length=max_length, top_p=top_p,
-                                                                temperature=temperature):
-        chatbot[-1] = (parse_text(input), parse_text(response))
+    for response, history in model.stream_chat(tokenizer, input, history, max_length=max_length, top_p=top_p,
+                                               temperature=temperature):
+        chatbot[-1] = (parse_text(input), parse_text(response))       
 
-        yield chatbot, history, past_key_values
+        yield chatbot, history
 
 
 def reset_user_input():
@@ -86,32 +84,32 @@ def reset_user_input():
 
 
 def reset_state():
-    return [], [], None
+    return [], []
 
 
 with gr.Blocks() as demo:
-    gr.HTML("""<h1 align="center">ChatGLM2-6B</h1>""")
+    gr.HTML("""<h1 align="center">ChatGLM</h1>""")
 
     chatbot = gr.Chatbot()
     with gr.Row():
         with gr.Column(scale=4):
             with gr.Column(scale=12):
-                user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10)
+                user_input = 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")
-            max_length = gr.Slider(0, 32768, value=8192, step=1.0, label="Maximum length", interactive=True)
-            top_p = gr.Slider(0, 1, value=0.8, step=0.01, label="Top P", interactive=True)
+            max_length = gr.Slider(0, 4096, value=2048, step=1.0, label="Maximum length", interactive=True)
+            top_p = gr.Slider(0, 1, value=0.7, step=0.01, label="Top P", interactive=True)
             temperature = gr.Slider(0, 1, value=0.95, step=0.01, label="Temperature", interactive=True)
 
     history = gr.State([])
-    past_key_values = gr.State(None)
 
-    submitBtn.click(predict, [user_input, chatbot, max_length, top_p, temperature, history, past_key_values],
-                    [chatbot, history, past_key_values], show_progress=True)
+    submitBtn.click(predict, [user_input, chatbot, max_length, top_p, temperature, history], [chatbot, history],
+                    show_progress=True)
     submitBtn.click(reset_user_input, [], [user_input])
 
-    emptyBtn.click(reset_state, outputs=[chatbot, history, past_key_values], show_progress=True)
+    emptyBtn.click(reset_state, outputs=[chatbot, history], show_progress=True)
 
 demo.launch(show_error=True)