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Runtime error
Runtime error
added like/dislike, avatar and bubble_width
Browse files
app.py
CHANGED
@@ -114,6 +114,37 @@ additional_inputs=[
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column(scale=0.4):
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@@ -135,12 +166,15 @@ with gr.Blocks() as demo:
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⚠️ **Limitations**: the model can and will produce factually incorrect information, hallucinating facts and actions. As it has not undergone any advanced tuning/alignment, it can produce problematic outputs, especially if prompted to do so. Finally, this demo is limited to a session length of about 1,000 words.
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"""
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demo.queue(concurrency_count=100, api_open=False).launch(show_api=False)
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]
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def vote(data: gr.LikeData):
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if data.liked:
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print("You upvoted this response: " + data.value)
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else:
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print("You downvoted this response: " + data.value)
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chatbot = gr.Chatbot(avatar_images=('user.png', 'bot.png'),bubble_full_width = False)
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#chat = gr.ChatInterface(fn = random_response, chatbot = chatbot,
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# #chatbot = gr.Chatbot(avatar_images=('user.png', 'bot.png'),bubble_full_width = False),
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# textbox = gr.Textbox(placeholder="Ask me a yes or no question", container=False, scale=7),)
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chat_interface = gr.ChatInterface(
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generate,
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chatbot = chatbot,
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examples=EXAMPLES,
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additional_inputs=additional_inputs,
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)
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#with gr.Blocks() as demo:
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# chatbot.like(vote, None, None)
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# chat.render()
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#additional_inputs = chatbot.like(vote, None, None))
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#chatbot.like(vote, None, None)
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#demo.like(vote, None, None)
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#demo.launch()
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column(scale=0.4):
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⚠️ **Limitations**: the model can and will produce factually incorrect information, hallucinating facts and actions. As it has not undergone any advanced tuning/alignment, it can produce problematic outputs, especially if prompted to do so. Finally, this demo is limited to a session length of about 1,000 words.
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"""
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chatbot.like(vote, None, None)
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chat_interface.render()
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#gr.ChatInterface(
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# generate,
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# examples=EXAMPLES,
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# additional_inputs=additional_inputs,
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# avatar_images = ('user.png', 'bot.png')
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#)
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demo.queue(concurrency_count=100, api_open=False).launch(show_api=False)
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