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| import gradio as gr | |
| from src.document_utils import ( | |
| summarize, | |
| question_answer, | |
| generate_questions, | |
| load_history, | |
| load_science, | |
| paraphrase | |
| ) | |
| from src.wiki_search import cross_lingual_document_search, translate_text | |
| from src.theme import CustomTheme | |
| max_search_results = 3 | |
| def reset_chatbot(): | |
| return gr.update(value="") | |
| def get_user_input(input_question, history): | |
| return "", history + [[input_question, None]] | |
| def study_doc_qa_bot(input_document, history): | |
| bot_message = question_answer(input_document, history) | |
| history[-1][1] = bot_message | |
| return history | |
| custom_theme = CustomTheme() | |
| with gr.Blocks(theme=custom_theme) as demo: | |
| gr.HTML( | |
| """<html><center><img src='file/logo/omowe_logo.png', alt='omowe.ai logo', width=820, height=312 /></center><br></html>""" | |
| ) | |
| qa_bot_state = gr.State(value=[]) | |
| with gr.Tabs(): | |
| with gr.TabItem("Document Search"): | |
| gr.HTML( | |
| """<p style="text-align:center;font-size:24px;"><b>Search across a library of study materials in your own native language or even a mix of languages.</p>""" | |
| ) | |
| gr.HTML( | |
| """<p style="text-align:center; font-style:italic; font-size:16px;">Get started with a pre-indexed set of study materials spaning various subjects (History, Literature, Philosophy, Government etc) in 4 different languages.</p>""" | |
| ) | |
| with gr.Row(): | |
| text_match = gr.CheckboxGroup( | |
| ["Full Text Search"], label="find exact text in documents", visible=False | |
| ) | |
| with gr.Row(): | |
| lang_choices = gr.CheckboxGroup( | |
| [ | |
| "English", | |
| "Yoruba", | |
| "Igbo", | |
| "Hausa", | |
| ], | |
| label="Filter results based on language", | |
| value = "Yoruba" | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| user_query = gr.Text( | |
| label="Enter query here", | |
| placeholder="Search through study materials (e.g The Nigerian Civil War, What is Literature)", | |
| ) | |
| num_search_results = gr.Slider( | |
| 1, | |
| max_search_results, | |
| visible=False, | |
| value=max_search_results, | |
| step=1, | |
| interactive=True, | |
| label="How many search results to show:", | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| query_match_out_1 = gr.Textbox( | |
| label= f"Search Result 1" | |
| ) | |
| with gr.Column(): | |
| with gr.Accordion("Click to View Translation/Source", open=False): | |
| translate_btn_1 = gr.Button( | |
| label="Translate Text", | |
| value="Translate Text", | |
| variant="primary", | |
| ) | |
| translate_res_1 = gr.Textbox( | |
| label=f"Translation in English", | |
| ) | |
| source_res_1 = gr.Textbox( | |
| label=f"Source Url", | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| query_match_out_2 = gr.Textbox(label=f"Search Result 2") | |
| with gr.Column(): | |
| with gr.Accordion("Click to View Translation/Source", open=False): | |
| translate_btn_2 = gr.Button( | |
| label="Translate Text", | |
| value="Translate Text", | |
| variant="primary", | |
| ) | |
| translate_res_2 = gr.Textbox( | |
| label=f"Translation in English", | |
| ) | |
| source_res_2 = gr.Textbox( | |
| label=f"Source Url" | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| query_match_out_3 = gr.Textbox(label=f"Search Result 3") | |
| with gr.Column(): | |
| with gr.Accordion("Click to View Translation/Source", open=False): | |
| translate_btn_3 = gr.Button( | |
| label="Translate Text", | |
| value="Translate Text", | |
| variant="primary", | |
| ) | |
| translate_res_3= gr.Textbox( | |
| label=f"Translation in English", | |
| ) | |
| source_res_3 = gr.Textbox( | |
| label=f"Source Url" | |
| ) | |
| with gr.TabItem("Q&A"): | |
| gr.HTML( | |
| """<p style="text-align:center; font-size:16px;"><b>Looking to breeze through your study materials effortlessly? Simply upload your documents and fire away any questions you have!</p>""" | |
| ) | |
| with gr.Row(): | |
| with gr.Accordion("Click to use preloaded examples", open=False): | |
| example_2 = gr.Button( | |
| "Load History of Nigeria", variant="primary" | |
| ) | |
| example_1 = gr.Button( | |
| "Load Science of Photosynthesis", variant="primary" | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| input_document = gr.Text(label="Copy your document here", lines=2) | |
| input_document_pdf = gr.inputs.File(label="Uplaod file") | |
| with gr.Column(): | |
| chatbot = gr.Chatbot(label="Chat History") | |
| input_question = gr.Text( | |
| label="Ask a question", | |
| placeholder="Type a question here and hit enter.", | |
| ) | |
| clear = gr.Button("Clear", variant="primary") | |
| with gr.TabItem("Summarize"): | |
| gr.HTML( | |
| """<p style="text-align:center; font-size:24px;"><b> Get the most out of your study materials!</p>""" | |
| ) | |
| gr.HTML( | |
| """<p style="text-align:center; font-size:16px;"><b>You can easily upload your documents and generate quick summaries and practice questions in a flash.</p>""" | |
| ) | |
| with gr.Row(): | |
| with gr.Accordion("Click to use preloaded examples", open=False): | |
| example_4 = gr.Button( | |
| "Load History of Nigeria", variant="primary" | |
| ) | |
| example_3 = gr.Button( | |
| "Load Science of Photosynthesis", variant="primary" | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| summary_input = gr.Text(label="Document", lines=5) | |
| with gr.Column(): | |
| summary_output = gr.Text(label="Generated Summary", lines=5) | |
| invisible_comp = gr.Text(label="Dummy Component", visible=False) | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Accordion("Summary Settings", open=False): | |
| summary_length = gr.Radio( | |
| ["short", "medium", "long"], | |
| label="Summary Length", | |
| value="long", | |
| ) | |
| summary_format = gr.Radio( | |
| ["paragraph", "bullets"], | |
| label="Summary Format", | |
| value="bullets", | |
| ) | |
| extractiveness = gr.Radio( | |
| ["low", "medium", "high"], | |
| label="Extractiveness", | |
| info="Controls how close to the original text the summary is.", | |
| visible=False, | |
| value="high", | |
| ) | |
| temperature = gr.Slider( | |
| minimum=0, | |
| maximum=5.0, | |
| value=0.64, | |
| step=0.1, | |
| interactive=True, | |
| visible=False, | |
| label="Temperature", | |
| info="Controls the randomness of the output. Lower values tend to generate more “predictable” output, while higher values tend to generate more “creative” output.", | |
| ) | |
| with gr.Row(): | |
| generate_summary = gr.Button("Generate Summary", variant="primary") | |
| with gr.Row(): | |
| generate_questions_btn = gr.Button("Generate practice questions", variant="primary") | |
| with gr.Row(): | |
| generate_output = gr.Text(label="Generated questions", lines=5) | |
| with gr.TabItem("Paraphrase"): | |
| gr.HTML( | |
| """<p style="text-align:center;"><b>Provide the text you'll like to accurately rephrase.</p>""" | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| paraphrase_input = gr.Text(label="Document", lines=10) | |
| generate_paraphrase = gr.Button("Paraphrase", variant="primary") | |
| with gr.Column(): | |
| paraphrase_output = gr.HTML(label="Paraphrase", lines=10) | |
| invisible_comp = gr.Text(label="Dummy Component", visible=False) | |
| with gr.Row(): | |
| with gr.Accordion("Advanced Settings:", open=False): | |
| paraphrase_length = gr.Radio( | |
| ["short", "medium", "long"], | |
| label="Paraphrase Length", | |
| value="long", | |
| ) | |
| paraphrase_format = gr.Radio( | |
| ["paragraph", "bullets"], | |
| label="Paraphrase Format", | |
| value="bullets", | |
| ) | |
| extractiveness = gr.Radio( | |
| ["low", "medium", "high"], | |
| label="Extractiveness", | |
| info="Controls how close to the original text the paraphrase is.", | |
| visible=False, | |
| value="high", | |
| ) | |
| temperature = gr.Slider( | |
| minimum=0, | |
| maximum=5.0, | |
| value=0.64, | |
| step=0.1, | |
| interactive=True, | |
| visible=False, | |
| label="Temperature", | |
| info="Controls the randomness of the output. Lower values tend to generate more “predictable” output, while higher values tend to generate more “creative” output.", | |
| ) | |
| # fetch answer for submitted question corresponding to input document | |
| input_question.submit( | |
| get_user_input, | |
| [input_question, chatbot], | |
| [input_question, chatbot], | |
| queue=False, | |
| ).then(study_doc_qa_bot, [input_document, chatbot], chatbot) | |
| # reset the chatbot Q&A history when input document changes | |
| input_document.change(fn=reset_chatbot, inputs=[], outputs=chatbot) | |
| # Loading examples on click for Q&A module | |
| example_1.click( | |
| load_history, | |
| [], | |
| [input_document, input_question], | |
| queue=False, | |
| ) | |
| example_2.click( | |
| load_science, | |
| [], | |
| [input_document, input_question], | |
| queue=False, | |
| ) | |
| # Loading examples on click for Q&A module | |
| example_3.click( | |
| load_history, | |
| [], | |
| [summary_input, invisible_comp], | |
| queue=False, | |
| ) | |
| example_4.click( | |
| load_science, | |
| [], | |
| [summary_input, invisible_comp], | |
| queue=False, | |
| ) | |
| # generate summary corresponding to document submitted by the user. | |
| generate_summary.click( | |
| summarize, | |
| [summary_input, summary_length, summary_format, extractiveness, temperature], | |
| [summary_output], | |
| queue=False, | |
| ) | |
| generate_questions_btn.click( | |
| generate_questions, | |
| [summary_input], | |
| [generate_output], | |
| queue=False, | |
| ) | |
| generate_paraphrase.click( | |
| paraphrase, | |
| [paraphrase_input], | |
| [paraphrase_output], | |
| queue=False, | |
| ) | |
| # clear the chatbot Q&A history when this button is clicked by the user | |
| clear.click(lambda: None, None, chatbot, queue=False) | |
| # run search if user submits query | |
| user_query.submit( | |
| cross_lingual_document_search, | |
| [user_query, num_search_results, lang_choices, text_match], | |
| [query_match_out_1, query_match_out_2, query_match_out_3, \ | |
| source_res_1,source_res_2,source_res_3], | |
| queue=False, | |
| ) | |
| # translate results corresponding to 1st search result obtained if user clicks 'Translate' | |
| translate_btn_1.click( | |
| translate_text, | |
| [query_match_out_1], | |
| [translate_res_1], | |
| queue=False, | |
| ) | |
| translate_btn_2.click( | |
| translate_text, | |
| [query_match_out_2], | |
| [translate_res_2], | |
| queue=False, | |
| ) | |
| translate_btn_3.click( | |
| translate_text, | |
| [query_match_out_3], | |
| [translate_res_3], | |
| queue=False, | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(debug=True) | |