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| import gradio as gr | |
| from conn import connector | |
| import time | |
| import csv | |
| import pandas as pd | |
| import os,re,zipfile | |
| conn=connector() | |
| info=conn.generate() | |
| info=conn.start_conversation(info['token']) | |
| def resp(message, intensity): | |
| """Direct Line Api v.3 connection to CoPilot""" | |
| retval = conn.send_message(info['token'],info['conversationId'],'cohitai',message) | |
| time.sleep(4) | |
| return conn.get_message(info['token'],info['conversationId'])["activities"][-1]["text"] | |
| def upload_file(files): | |
| return [pd.read_excel(file.name) for file in files] | |
| def process_excel_files(files): | |
| temp_list=[(file,fetch_sheet_names(file)) for file in files] | |
| df = [pd.read_excel(tup[0],sheet) for tup in temp_list for sheet in tup[1]] | |
| return df | |
| def fetch_sheet_names(path): | |
| sheets=[] | |
| with zipfile.ZipFile(path,'r') as zip_ref: | |
| xml=zip_ref.read("xl/workbook.xml").decode("utf-8") | |
| for s_tag in re.findall("<sheet [^>]*",xml) : sheets.append(re.search('name="[^"]*',s_tag).group(0)[6:]) | |
| return sheets | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Say Hello to Validify-Bot, Built on Microsoft Co-Pilot Backend, with Direct Line API V. 3.0") | |
| inp = gr.Textbox(placeholder="Please Enter the text here.") | |
| out = gr.Textbox() | |
| inp.change(resp, inp, out) | |
| file_output = gr.Files() | |
| upload_button = gr.UploadButton("Click to Upload Excel Files", file_types=["file"], file_count="multiple") | |
| dataset = gr.Dataframe(row_count=5) | |
| upload_button.upload(fn=process_excel_files, inputs=upload_button, outputs=dataset) | |
| if __name__ == "__main__": | |
| demo.launch(share=True) | |
| # demo = gr.Interface( | |
| # fn=resp, | |
| # # fn=file_input, | |
| # inputs=["text","slider"], | |
| # outputs=["text"], | |
| # ) | |