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Update app.py
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app.py
CHANGED
@@ -1,5 +1,6 @@
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import time
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# Load model and tokenizer
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@@ -31,21 +32,18 @@ def add_text(history, text):
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history = history + [(text, None)]
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return history, gr.Textbox(value="", interactive=False)
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def bot(history,
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user_input = history[-1][0]
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history[-1][1] =
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time.sleep(0.05)
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yield history
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(
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[],
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elem_id="chatbot",
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bubble_full_width=False,
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avatar_images=(None, None),
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)
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with gr.Row():
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@@ -56,12 +54,12 @@ with gr.Blocks() as demo:
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container=False,
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)
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txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
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bot, chatbot,
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)
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txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import os
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import time
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# Load model and tokenizer
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history = history + [(text, None)]
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return history, gr.Textbox(value="", interactive=False)
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def bot(history, max_length, min_length, temperature):
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user_input = history[-1][0]
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generated_response = generate_text(user_input, max_length=max_length, min_length=min_length, temperature=temperature)
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history[-1][1] = generated_response
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time.sleep(0.5)
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yield history
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(
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[],
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elem_id="chatbot",
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bubble_full_width=False,
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)
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with gr.Row():
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container=False,
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)
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max_length_slider = gr.Slider(minimum=0, maximum=2048, value=10, label="Max Length")
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min_length_slider = gr.Slider(minimum=0, maximum=2048, value=1, label="Min Length")
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temperature_slider = gr.Slider(minimum=0.1, maximum=2.0, value=1.0, label="Temperature")
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txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
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bot, chatbot, chatbot, api_name="bot_response", max_length=max_length_slider, min_length=min_length_slider, temperature=temperature_slider
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)
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txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
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