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Runtime error

hadadrjt commited on
Commit
5fbe77e
·
1 Parent(s): cf21eef

fixup! ai: Set custom clear logic.

Browse files
Files changed (1) hide show
  1. jarvis.py +3 -3
jarvis.py CHANGED
@@ -357,9 +357,9 @@ with gr.Blocks(fill_height=True, fill_width=True, title=AI_TYPES["AI_TYPE_4"], h
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  def on_example_select(evt: gr.SelectData):
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  return evt.value
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  chatbot.example_select(fn=on_example_select, inputs=[], outputs=[msg]).then(fn=respond_async, inputs=[msg, user_history, selected_model, user_session, J_A_R_V_I_S], outputs=[chatbot, msg, user_session])
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- def clear_chat():
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- return [], create_session(), "", "", []
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- chatbot.clear(fn=clear_chat, inputs=[], outputs=[chatbot, user_session, J_A_R_V_I_S, msg, user_history])
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  msg.submit(fn=respond_async, inputs=[msg, user_history, selected_model, user_session, J_A_R_V_I_S], outputs=[chatbot, msg, user_session], api_name=INTERNAL_AI_GET_SERVER, show_progress="full", show_progress_on=[chatbot, msg])
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  msg.stop(fn=stop_response, inputs=[user_history, user_session], outputs=[chatbot, msg, user_session])
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  jarvis.queue(default_concurrency_limit=2).launch(max_file_size="1mb")
 
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  def on_example_select(evt: gr.SelectData):
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  return evt.value
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  chatbot.example_select(fn=on_example_select, inputs=[], outputs=[msg]).then(fn=respond_async, inputs=[msg, user_history, selected_model, user_session, J_A_R_V_I_S], outputs=[chatbot, msg, user_session])
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+ def clear_chat(history, sess, prompt, model):
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+ return [], create_session(), prompt, model, []
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+ chatbot.clear(fn=clear_chat, inputs=[user_history, user_session, J_A_R_V_I_S, selected_model], outputs=[chatbot, user_session, J_A_R_V_I_S, selected_model, user_history])
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  msg.submit(fn=respond_async, inputs=[msg, user_history, selected_model, user_session, J_A_R_V_I_S], outputs=[chatbot, msg, user_session], api_name=INTERNAL_AI_GET_SERVER, show_progress="full", show_progress_on=[chatbot, msg])
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  msg.stop(fn=stop_response, inputs=[user_history, user_session], outputs=[chatbot, msg, user_session])
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  jarvis.queue(default_concurrency_limit=2).launch(max_file_size="1mb")