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a96c874
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Parent(s):
60efd34
Update app.py
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app.py
CHANGED
@@ -299,8 +299,6 @@ with gr.Blocks(height=900) as demo:
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[Blog](https://medium.com/@iwishcognitivedissonance/wangchanglm-the-thai-turned-multilingual-instruction-following-model-7aa9a0f51f5f) | [Codes](https://github.com/pythainlp/wangchanglm) | [Demo](https://colab.research.google.com/github/pythainlp/WangChanGLM/blob/main/demo/WangChanGLM_v0_1_demo.ipynb)
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This demo use CPU only, so It may be slow or very slow. If you want the speed, try [Google colab](https://colab.research.google.com/github/pythainlp/WangChanGLM/blob/main/demo/WangChanGLM_v0_1_demo.ipynb).
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@@ -355,10 +353,10 @@ with gr.Blocks(height=900) as demo:
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_temp= instruct_generate(instruct,input,max_gen_len,temperature,top_p)
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feedback_gen_box.update(visible=True)
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return {outputs:_temp,feedback_gen_box: gr.update(visible=True),feedback_gen_ok: gr.update(visible=False)}
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feedback_gen_submit.click(fn=save_up2, inputs=[instruction, input,outputs,max_len,temp,top_p,gen_radio,feedback_gen], outputs=[feedback_gen_box,feedback_gen_ok])
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inputs = [instruction, input, max_len, temp, top_p]
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run_botton.click(fn=gen, inputs=inputs, outputs=[outputs,feedback_gen_box,feedback_gen_ok])
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examples = gr.Examples(examples=[
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with gr.Tab("ChatBot"):
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with gr.Column():
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chatbot = gr.Chatbot(label="Chat Message Box", placeholder="Chat Message Box",show_label=False).style(container=False)
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@@ -398,7 +396,7 @@ with gr.Blocks(height=900) as demo:
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def reset():
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chatgpt_chain.memory.clear()
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print("clear!")
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feedback_chatbot_submit.click(fn=save_up, inputs=[chatbot,chatbot_radio,feedback_chatbot], outputs=[feedback_chatbot_ok,feedback_chatbot_box,])
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clear.click(reset, None, chatbot, queue=False)
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submit_event = msg.submit(fn=user, inputs=[msg, chatbot], outputs=[msg, chatbot,feedback_chatbot_box], queue=True)
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submit_click_event = submit.click(fn=user, inputs=[msg, chatbot], outputs=[msg, chatbot,feedback_chatbot_box], queue=True)
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@@ -433,7 +431,7 @@ with gr.Blocks(height=900) as demo:
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x=sumbit_data(save="chat",prompt=_bot,vote=3,feedback=feedback,name_model=name_model+"-chat_old")
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return {feedback_chatbot_ok2: gr.update(visible=True),feedback_chatbot_box2: gr.update(visible=False)}
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msg2.submit(user2, [msg2, chatbot2], [msg2, chatbot2], queue=True).then(bot2, chatbot2, [chatbot2,feedback_chatbot_box2])
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feedback_chatbot_submit2.click(fn=save_up2, inputs=[chatbot2,chatbot_radio2,feedback_chatbot2], outputs=[feedback_chatbot_ok2,feedback_chatbot_box2])
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clear2 = gr.Button("Clear")
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clear2.click(lambda: None, None, chatbot2, queue=False)
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demo.queue()
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[Blog](https://medium.com/@iwishcognitivedissonance/wangchanglm-the-thai-turned-multilingual-instruction-following-model-7aa9a0f51f5f) | [Codes](https://github.com/pythainlp/wangchanglm) | [Demo](https://colab.research.google.com/github/pythainlp/WangChanGLM/blob/main/demo/WangChanGLM_v0_1_demo.ipynb)
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This demo use CPU only, so It may be slow or very slow. If you want the speed, try [Google colab](https://colab.research.google.com/github/pythainlp/WangChanGLM/blob/main/demo/WangChanGLM_v0_1_demo.ipynb).
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_temp= instruct_generate(instruct,input,max_gen_len,temperature,top_p)
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feedback_gen_box.update(visible=True)
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return {outputs:_temp,feedback_gen_box: gr.update(visible=True),feedback_gen_ok: gr.update(visible=False)}
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feedback_gen_submit.click(fn=save_up2, inputs=[instruction, input,outputs,max_len,temp,top_p,gen_radio,feedback_gen], outputs=[feedback_gen_box,feedback_gen_ok], queue=False)
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inputs = [instruction, input, max_len, temp, top_p]
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run_botton.click(fn=gen, inputs=inputs, outputs=[outputs,feedback_gen_box,feedback_gen_ok])
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examples = gr.Examples(examples=['อยากลดความอ้วนทำไง','จงแต่งเรียงความเรื่องความฝันของคนรุ่นใหม่ต่อประเทศไทย'],inputs=[instruction])
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with gr.Tab("ChatBot"):
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with gr.Column():
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chatbot = gr.Chatbot(label="Chat Message Box", placeholder="Chat Message Box",show_label=False).style(container=False)
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def reset():
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chatgpt_chain.memory.clear()
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print("clear!")
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feedback_chatbot_submit.click(fn=save_up, inputs=[chatbot,chatbot_radio,feedback_chatbot], outputs=[feedback_chatbot_ok,feedback_chatbot_box,], queue=False)
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clear.click(reset, None, chatbot, queue=False)
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submit_event = msg.submit(fn=user, inputs=[msg, chatbot], outputs=[msg, chatbot,feedback_chatbot_box], queue=True)
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submit_click_event = submit.click(fn=user, inputs=[msg, chatbot], outputs=[msg, chatbot,feedback_chatbot_box], queue=True)
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x=sumbit_data(save="chat",prompt=_bot,vote=3,feedback=feedback,name_model=name_model+"-chat_old")
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return {feedback_chatbot_ok2: gr.update(visible=True),feedback_chatbot_box2: gr.update(visible=False)}
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msg2.submit(user2, [msg2, chatbot2], [msg2, chatbot2], queue=True).then(bot2, chatbot2, [chatbot2,feedback_chatbot_box2])
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feedback_chatbot_submit2.click(fn=save_up2, inputs=[chatbot2,chatbot_radio2,feedback_chatbot2], outputs=[feedback_chatbot_ok2,feedback_chatbot_box2], queue=False)
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clear2 = gr.Button("Clear")
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clear2.click(lambda: None, None, chatbot2, queue=False)
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demo.queue()
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