import time import pandas as pd import gradio as gr from llama_index import GPTSimpleVectorIndex title = "Confidential forensics tool with ChatGPT" examples = ["Who is Phillip Allen?", "What is the project in Austin is about?", "Give me more details about the real estate project"] index = GPTSimpleVectorIndex.load_from_disk('email.json') docs_arr = [] for doc in index.docstore.docs: docs_arr.append(doc) dat_fr = pd.DataFrame({"Documents loaded": docs_arr}) def respond_upload(btn_upload, message, chat_history): time.sleep(2) message = "***File uploaded***" bot_message = "Your document has been uploaded and will be accounted for your queries." chat_history.append((message, bot_message)) return btn_upload, "", chat_history def respond2(message, chat_history, box, btn): if len(message.strip()) < 1: message = "***Empty***" bot_message = "Oops, it looks like your query was not valid. Please make sure you typed something in your text box and then try again." else: try: bot_message = str(index.query(message)).strip() except: bot_message = "An error occured when handling your query, please try again." chat_history.append((message, bot_message)) return message, chat_history, box def respond(message, chat_history): if len(message.strip()) < 1: message = "***Empty***" bot_message = "Oops, it looks like your query was not valid. Please make sure you typed something in your text box and then try again." else: try: bot_message = str(index.query(message)).strip() except: bot_message = "An error occured when handling your query, please try again." chat_history.append((message, bot_message)) return "", chat_history with gr.Blocks(title=title) as demo: gr.Markdown( """ # """ + title + """ ... """) dat = gr.Dataframe( value=dat_fr ) gr.Markdown( """ ## Chatbot """) chatbot = gr.Chatbot().style(height=400) with gr.Row(): with gr.Column(scale=0.70): msg = gr.Textbox( show_label=False, placeholder="Enter text and press enter, or click on Send.", ).style(container=False) with gr.Column(scale=0.15, min_width=0): btn_send = gr.Button("Send your query") with gr.Column(scale=0.15, min_width=0): btn_upload = gr.UploadButton("Upload a new document...", file_types=["text"]) with gr.Row(): gr.Markdown( """ Example of queries """) i = 0 for ex in examples: btn = gr.Button(examples[i]) btn.click(respond2, [btn, chatbot, msg], [btn, chatbot, msg]) i += 1 msg.submit(respond, [msg, chatbot], [msg, chatbot]) btn_send.click(respond, [msg, chatbot], [msg, chatbot]) btn_upload.upload(respond_upload, [btn_upload, msg, chatbot], [btn_upload, msg, chatbot]) if __name__ == "__main__": demo.launch()