Merge pull request #433 from zwy4896/main

Update web_demo2.py

web_demo2.py

@@ -21,7 +21,7 @@ MAX_TURNS = 20
 MAX_BOXES = MAX_TURNS * 2
 
 
-def predict(input, history=None):
+def predict(input, max_length, top_p, temperature, history=None):
     tokenizer, model = get_model()
     if history is None:
         history = []
@@ -35,7 +35,8 @@ def predict(input, history=None):
         message(input, avatar_style="big-smile", key=str(len(history)) + "_user")
         st.write("AI正在回复:")
         with st.empty():
-            for response, history in model.stream_chat(tokenizer, input, history):
+            for response, history in model.stream_chat(tokenizer, input, history, max_length=max_length, top_p=top_p,
+                                               temperature=temperature):
                 query, response = history[-1]
                 st.write(response)
 
@@ -49,6 +50,15 @@ prompt_text = st.text_area(label="用户命令输入",
             height = 100,
             placeholder="请在这儿输入您的命令")
 
+max_length = st.sidebar.slider(
+    'max_length', 0, 4096, 2048, step=1
+)
+top_p = st.sidebar.slider(
+    'top_p', 0.0, 1.0, 0.6, step=0.01
+)
+temperature = st.sidebar.slider(
+    'temperature', 0.0, 1.0, 0.95, step=0.01
+)
 
 if 'state' not in st.session_state:
     st.session_state['state'] = []
@@ -56,4 +66,4 @@ if 'state' not in st.session_state:
 if st.button("发送", key="predict"):
     with st.spinner("AI正在思考，请稍等........"):
         # text generation
-        st.session_state["state"] = predict(prompt_text, st.session_state["state"])
+        st.session_state["state"] = predict(prompt_text, max_length, top_p, temperature, st.session_state["state"])