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Browse files- .gitattributes +1 -0
- Witness Prompt Generator.xlsm +3 -0
- app.py +48 -0
- requirements.txt +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Witness[[:space:]]Prompt[[:space:]]Generator.xlsm filter=lfs diff=lfs merge=lfs -text
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Witness Prompt Generator.xlsm
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version https://git-lfs.github.com/spec/v1
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oid sha256:a845d79271bd6e15e22dd449924ad0bd76ef3c5f7cfd03d8646cc90fc2d787bd
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size 2633479
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app.py
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# 1. Import necessary libraries
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import pandas as pd
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import gradio as gr
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import random
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# Function to load Excel sheets and extract first column data from valid sheets
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def load_excel_sheets(file_path):
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# Load all sheets into a dictionary {sheet_name: DataFrame}
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xls = pd.ExcelFile(file_path)
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sheets = {sheet_name: pd.read_excel(xls, sheet_name=sheet_name).iloc[:, 0].dropna().tolist()
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for sheet_name in xls.sheet_names}
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return sheets
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# Function to generate a random item from the selected sheet
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def generate_random_item(sheet_name, sheets):
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items = sheets.get(sheet_name, [])
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if items:
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return random.choice(items)
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return "No items available."
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# Gradio interface
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def prompt_generator_interface(file_path):
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# Load all the sheets and extract data from first column
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sheets = load_excel_sheets(file_path)
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# Define function for Gradio
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def generate_prompt(sheet_name):
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return generate_random_item(sheet_name, sheets)
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# Create Gradio interface
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interface = gr.Interface(
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fn=generate_prompt, # Function to call for generating random item
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inputs=gr.inputs.Dropdown(choices=list(sheets.keys()), label="Select Sheet"), # Dropdown to select sheet
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outputs="text", # Output is a text
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title="Excel Sheet Prompt Generator",
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description="Select a sheet and generate a random item from that sheet"
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)
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return interface
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# Create and launch the Gradio interface
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if __name__ == "__main__":
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# Path to your Excel file (adjust if needed)
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file_path = 'Witness Prompt Generator.xlsm'
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# Create and launch interface
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interface = prompt_generator_interface(file_path)
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interface.launch()
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requirements.txt
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pandas
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gradio==2.2.15
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openpyxl
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