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import gradio as gr
from functionality import get_collection, predict
def read_file(file):
if file is not None:
with open(file.name, 'r') as f:
file_data = f.read()
return file_data
else:
return None
with gr.Blocks() as demo:
gr.Markdown("# **📝 AI-powered Academic Research Assistant 📝**")
gr.Markdown("""**AI-powered Academic Research Assistant** is a tool which helps to
ensure the *correct grammar* and *academic style* in the scientific papers.
It also could help with *writing needed parts* or *proposing possible ideas*
for describing what you want in appropriate way.
## 📥 Down bellow you should choose appropriate parameters for your goals and then wait a little for the responce!""")
gr.Markdown('📨 Write the text you what to expand or upload corresponding text file.')
with gr.Tab('Write Text 📖'):
gr.Markdown("⚙️ *Hint*: to ensure more effective work of 'Fix Academic Style' try to make your sentences not too long (<= 20 words).")
input_prompt = gr.Textbox(label='Initial Text 📝',
placeholder='Write here your research text!',
lines=9,)
with gr.Tab('Upload File 📩'):
gr.Markdown("⚙️ *Hint*: to ensure more effective work of 'Fix Academic Style' try to make your sentences not too long (<= 20 words).")
txt_file = gr.File(file_types=['text',], label='Upload Text File',)
txt_file.change(read_file, inputs=txt_file, outputs=input_prompt)
gr.Markdown('✏️ Fill parameters for your needs')
with gr.Row(variant='panel', equal_height=True):
request_goal = gr.Radio(label='🤔 Specify the purpose of your request.',
info="Pick one:",
choices=['Write Text (Part)', 'Fix Academic Style', 'Fix Grammar', ],
value='Write Text (Part)',)
with gr.Accordion("❗️ In case you need to Write Text (Part) choose appropriate option!", open=False):
part_to_write = gr.CheckboxGroup(label="""📋 What part for Assistant to write? (here you need to
specify what part of your research you need to complete.)""",
info="""You may chose as many as needed:""",
choices=['Abstract', 'Introduction',
'Methodology', 'Discussion', 'Conclusion', 'Full Text',],
value='Abstract',)
with gr.Row(equal_height=True):
submit_btn = gr.Button('Confirm! ✅')
clear_btn = gr.Button('Clear ❌', min_width=611)
gr.Markdown('##### 📌 Assistant Responce')
gr.Markdown("In case you did not satisfy with the responce try to paraphrase!")
responce = gr.Textbox(label="Generated Text 👨🏼💻",
info="""You may face some page jumps, it is a bug which will be fixed. Just wait for the completion of text generation.
Sorry for inconvenience(""",
lines=9,
placeholder='Here the generated text will appear!',
show_label=True,
show_copy_button=True,
autofocus=True,
autoscroll=True,)
submit_btn.click(fn=predict,
inputs=[request_goal, part_to_write, input_prompt,],
outputs=[responce],
scroll_to_output=True, queue=True)
clear_btn.click(lambda: (None, None, 'Write Text (Part)', 'Abstract', None), None,
outputs=[input_prompt, txt_file, request_goal, part_to_write, responce])
if __name__ == "__main__":
get_collection()
demo.launch()
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