From ef6b3ff35eab946ce99479ada2154a1fa2318ace Mon Sep 17 00:00:00 2001 From: AdamBear Date: Wed, 22 Mar 2023 15:11:21 +0800 Subject: [PATCH 1/3] support stream chat --- web_demo2.py | 29 +++++++++++++++++------------ 1 file changed, 17 insertions(+), 12 deletions(-) diff --git a/web_demo2.py b/web_demo2.py index 6946a15..fafeb5d 100644 --- a/web_demo2.py +++ b/web_demo2.py @@ -11,8 +11,8 @@ st.set_page_config( @st.cache_resource def get_model(): - tokenizer = AutoTokenizer.from_pretrained("/THUDM/chatglm-6b", trust_remote_code=True) - model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda() + tokenizer = AutoTokenizer.from_pretrained("/data/chatglm-6b", trust_remote_code=True) + model = AutoModel.from_pretrained("/data/chatglm-6b", trust_remote_code=True).half().cuda() model = model.eval() return tokenizer, model @@ -25,26 +25,31 @@ def predict(input, history=None): tokenizer, model = get_model() if history is None: history = [] - response, history = model.chat(tokenizer, input, history) - #updates = [] - for i, (query, response) in enumerate(history): - #updates.append("用户:" + query) - message(query, avatar_style="big-smile", key=str(i) + "_user") - #updates.append("ChatGLM-6B:" + response) - message(response, avatar_style="bottts", key=str(i)) + with container: + if len(history) > 0: + for i, (query, response) in enumerate(history): + message(query, avatar_style="big-smile", key=str(i) + "_user") + message(response, avatar_style="bottts", key=str(i)) - # if len(updates) < MAX_BOXES: - # updates = updates + [""] * (MAX_BOXES - len(updates)) + 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): + query, response = history[-1] + st.write(response) return history +container = st.container() + # create a prompt text for the text generation 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") + if 'state' not in st.session_state: st.session_state['state'] = [] @@ -53,4 +58,4 @@ if st.button("发送", key="predict"): # text generation st.session_state["state"] = predict(prompt_text, st.session_state["state"]) - st.balloons() \ No newline at end of file + st.session_state["state"] \ No newline at end of file From ee76342382e5894f45f44ad04bc6b047df26cce4 Mon Sep 17 00:00:00 2001 From: AdamBear Date: Wed, 22 Mar 2023 15:16:08 +0800 Subject: [PATCH 2/3] merge --- web_demo2.py | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/web_demo2.py b/web_demo2.py index ede0872..ff78a99 100644 --- a/web_demo2.py +++ b/web_demo2.py @@ -11,13 +11,8 @@ st.set_page_config( @st.cache_resource def get_model(): -<<<<<<< HEAD - tokenizer = AutoTokenizer.from_pretrained("/data/chatglm-6b", trust_remote_code=True) - model = AutoModel.from_pretrained("/data/chatglm-6b", trust_remote_code=True).half().cuda() -======= tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda() ->>>>>>> 292b5684c18a1765bf2570739e5cf2dcb03cca41 model = model.eval() return tokenizer, model @@ -31,7 +26,6 @@ def predict(input, history=None): if history is None: history = [] -<<<<<<< HEAD with container: if len(history) > 0: for i, (query, response) in enumerate(history): @@ -45,12 +39,6 @@ def predict(input, history=None): query, response = history[-1] st.write(response) -======= - for i, (query, response) in enumerate(history): - message(query, avatar_style="big-smile", key=str(i) + "_user") - message(response, avatar_style="bottts", key=str(i)) - ->>>>>>> 292b5684c18a1765bf2570739e5cf2dcb03cca41 return history From 5513dd7d2c61023adb5a48d4b723e8ff35163837 Mon Sep 17 00:00:00 2001 From: duzx16 Date: Thu, 23 Mar 2023 14:46:05 +0800 Subject: [PATCH 3/3] Delete session_state show --- web_demo2.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/web_demo2.py b/web_demo2.py index ff78a99..4e1f0e4 100644 --- a/web_demo2.py +++ b/web_demo2.py @@ -57,5 +57,3 @@ 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"] \ No newline at end of file