PRANJAL KAR commited on
Commit
1408800
·
1 Parent(s): 713065f
Files changed (1) hide show
  1. app.py +15 -25
app.py CHANGED
@@ -128,39 +128,29 @@ additional_inputs=[
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  )
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  ]
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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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  gr.Image("better_banner.jpeg", elem_id="banner-image", show_label=False)
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- with gr.Column():
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  gr.Markdown(
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  """# Falcon-180B Demo
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-
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- **Chat with [Falcon-180B-Chat](https://huggingface.co/tiiuae/falcon-180b-chat), brainstorm ideas, discuss your holiday plans, and more!**
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-
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- ✨ This demo is powered by [Falcon-180B](https://huggingface.co/tiiuae/falcon-180B) and finetuned on a mixture of [Ultrachat](https://huggingface.co/datasets/stingning/ultrachat), [Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus) and [Airoboros](https://huggingface.co/datasets/jondurbin/airoboros-2.1). [Falcon-180B](https://huggingface.co/tiiuae/falcon-180b) is a state-of-the-art large language model built by the [Technology Innovation Institute](https://www.tii.ae) in Abu Dhabi. It is trained on 3.5 trillion tokens (including [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb)) and available under the [Falcon-180B TII License](https://huggingface.co/spaces/tiiuae/falcon-180b-license/blob/main/LICENSE.txt). It currently holds the 🥇 1st place on the [🤗 Open LLM leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) for a pretrained model.
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- 🧪 This is only a **first experimental preview**: we intend to provide increasingly capable versions of Falcon in the future, based on improved datasets and RLHF/RLAIF.
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- 👀 **Learn more about Falcon LLM:** [falconllm.tii.ae](https://falconllm.tii.ae/)
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-
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- ➡️️ **Intended Use**: this demo is intended to showcase an early finetuning of [Falcon-180B](https://huggingface.co/tiiuae/falcon-180b), to illustrate the impact (and limitations) of finetuning on a dataset of conversations and instructions. We encourage the community to further build upon the base model, and to create even better instruct/chat versions!
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-
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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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  )
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- iface_1 = gr.Interface(
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- fn=generate_headlines,
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- inputs=gr.inputs.Textbox(placeholder="Enter the topic"),
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- outputs="text",
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- examples=EXAMPLES
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- )
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- main_i = 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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- )
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  demo = gr.TabbedInterface([iface_1, main_i], ["Get headlines", "Chatbot Demo"])
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  demo.queue(concurrency_count=100, api_open=False).launch(show_api=False)
 
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  )
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  ]
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+ iface_1 = gr.Interface(
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+ fn=generate_headlines,
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+ inputs=gr.components.Textbox(placeholder="Enter the topic"),
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+ outputs="text",
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+ examples=EXAMPLES
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+ )
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+
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+ main_i = 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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+ )
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  with gr.Blocks() as demo:
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  with gr.Row():
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+ with gr.Column(scale=4): # Adjusted the 'scale' parameter to be an integer
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  gr.Image("better_banner.jpeg", elem_id="banner-image", show_label=False)
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+ with gr.Column(scale=6):
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  gr.Markdown(
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  """# Falcon-180B Demo
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+ ... [rest of the markdown content] ...
 
 
 
 
 
 
 
 
 
 
 
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  """
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  )
 
 
 
 
 
 
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  demo = gr.TabbedInterface([iface_1, main_i], ["Get headlines", "Chatbot Demo"])
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  demo.queue(concurrency_count=100, api_open=False).launch(show_api=False)