Spaces:
Runtime error
Runtime error
| import gradio as gr | |
| def add_text(history, text): | |
| history = history + [(text, None)] | |
| return history, "" | |
| def add_file(history, file): | |
| history = history + [((file.name,), None)] | |
| return history | |
| def bot(history): | |
| response = "**That's cool!**" | |
| history[-1][1] = response | |
| return history | |
| with gr.Blocks() as demo: | |
| gr.Markdown(""" | |
| Hey there, genius! | |
| Welcome to our demo! We've trained Meta's Llama on almost 200k data entries in the question/answer format. | |
| In the future, we are looking to expand our model's capabilities further to assist in a range of IP related tasks. | |
| If you are interested in using a more powerful model that we have trained, please get in touch! | |
| As far as data is concerned, you have nothing to worry about! We don't store any of your inputs to use for further training, we're not OpenAI 👀. We'd just like to know if this is something people would be interested in using! | |
| Please note that this is for research purposes and shouldn't be used commercially. | |
| None of the outputs should be taken as solid legal advice. If you are an inventor looking to patent an invention, always seek the help of a registered patent attorney. | |
| """) | |
| with gr.Tab("Text Drafter"): | |
| gr.Markdown(""" | |
| You can use this tool to expand your idea using Claim Language. | |
| Example input: A device to help the visually impaired using proprioception. | |
| Output: | |
| """) | |
| text_input = gr.Textbox() | |
| text_output = gr.Textbox() | |
| text_button = gr.Button("") | |
| with gr.Tab("Description Generator"): | |
| gr.Markdown(""" | |
| You can use this tool to turn a claim into a | |
| Example input: A device to help the visually impaired using proprioception. | |
| Output: | |
| """) | |
| with gr.Row(scale=1, min_width=600): | |
| text1 = gr.Textbox(label="Input", | |
| placeholder='Type in your idea here!') | |
| text2 = gr.Textbox(label="Output") | |
| with gr.Tab("Knowledge Graph"): | |
| gr.Markdown(""" | |
| Are you more of a visual type? Use this tool to generate graphical representations of your ideas and how their features interlink. | |
| Example input: A device to help the visually impaired using proprioception. | |
| Output: | |
| """) | |
| with gr.Row(scale=1, min_width=600): | |
| text1 = gr.Textbox(label="Input", | |
| placeholder='Type in your idea here!') | |
| text2 = gr.Textbox(label="Output") | |
| with gr.Tab("Prosecution Ideator"): | |
| gr.Markdown(""" | |
| Below is our | |
| Example input: A device to help the visually impaired using proprioception. | |
| Output: | |
| """) | |
| with gr.Row(scale=1, min_width=600): | |
| text1 = gr.Textbox(label="Input", | |
| placeholder='Type in your idea here!') | |
| text2 = gr.Textbox(label="Output") | |
| with gr.Tab("Claimed Infill"): | |
| gr.Markdown(""" | |
| Below is our | |
| Example input: A device to help the visually impaired using proprioception. | |
| Output: | |
| """) | |
| with gr.Row(scale=1, min_width=600): | |
| text1 = gr.Textbox(label="Input", | |
| placeholder='Type in your idea here!') | |
| text2 = gr.Textbox(label="Output") | |
| gr.Markdown(""" | |
| # THE CHATBOT | |
| Do you want a bit more freedom over the outputs you generate? No worries, you can use a chatbot version of our model below. You can ask it anything by the way, just try to keep it PG. | |
| If you're concerned about an output from the model, hit the flag button and we will use that information to improve the model. | |
| """) | |
| chatbot = gr.Chatbot([], elem_id="Claimed Assistant").style(height=500) | |
| with gr.Row(): | |
| with gr.Column(scale=0.85): | |
| txt = gr.Textbox( | |
| show_label=False, | |
| placeholder="Enter text and press enter, or upload an image", | |
| ).style(container=False) | |
| with gr.Column(scale=0.15, min_width=0): | |
| btn = gr.UploadButton("📁", file_types=["image", "video", "audio"]) | |
| txt.submit(add_text, [chatbot, txt], [chatbot, txt]).then( | |
| bot, chatbot, chatbot | |
| ) | |
| demo.launch() |