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Add a warning for when no model is loaded
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@ -117,6 +117,11 @@ def extract_message_from_reply(reply, state):
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def chatbot_wrapper(text, state, regenerate=False, _continue=False):
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def chatbot_wrapper(text, state, regenerate=False, _continue=False):
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if shared.model_name == 'None':
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print("No model is loaded! Select one in the Model tab.")
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yield shared.history['visible']
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return
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# Defining some variables
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# Defining some variables
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cumulative_reply = ''
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cumulative_reply = ''
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last_reply = [shared.history['internal'][-1][1], shared.history['visible'][-1][1]] if _continue else None
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last_reply = [shared.history['internal'][-1][1], shared.history['visible'][-1][1]] if _continue else None
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@ -190,6 +195,11 @@ def chatbot_wrapper(text, state, regenerate=False, _continue=False):
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def impersonate_wrapper(text, state):
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def impersonate_wrapper(text, state):
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if shared.model_name == 'None':
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print("No model is loaded! Select one in the Model tab.")
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yield ''
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return
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# Defining some variables
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# Defining some variables
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cumulative_reply = ''
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cumulative_reply = ''
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eos_token = '\n' if state['stop_at_newline'] else None
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eos_token = '\n' if state['stop_at_newline'] else None
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@ -124,6 +124,12 @@ def stop_everything_event():
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def generate_reply(question, state, eos_token=None, stopping_strings=[]):
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def generate_reply(question, state, eos_token=None, stopping_strings=[]):
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if shared.model_name == 'None':
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print("No model is loaded! Select one in the Model tab.")
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yield formatted_outputs(question, shared.model_name)
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return
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clear_torch_cache()
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clear_torch_cache()
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seed = set_manual_seed(state['seed'])
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seed = set_manual_seed(state['seed'])
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shared.stop_everything = False
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shared.stop_everything = False
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