Spaces:
Sleeping
Sleeping
Sw1ft0
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Parent(s):
Add initial files
Browse files- .gitignore +1 -0
- README.md +0 -0
- app.py +63 -0
- requirements.txt +3 -0
.gitignore
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testing_files/
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README.md
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app.py
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import pandas as pd
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import gradio as gr
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# Store the uploaded dataframe in memory
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dataframes = {}
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def upload_excel(file):
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if file is None:
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return "Please upload an Excel file first."
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try:
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df = pd.read_excel(file.name)
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dataframes["df"] = df
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preview = df.head().to_string()
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return f"✅ File uploaded successfully! Here are the first rows:\n\n{preview}"
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except Exception as e:
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return f"❌ Error reading Excel file: {e}"
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def chat_agent(message, history):
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if "df" not in dataframes:
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return "Please upload an Excel file first."
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df = dataframes["df"]
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# Very simple “question routing” demo
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message_lower = message.lower()
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if "otb" in message_lower and "revenue" in message_lower and "august" in message_lower:
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try:
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otb_august = df.loc[df['Month'] == 'August', 'OTB Revenue'].values[0]
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stly_august = df.loc[df['Month'] == 'August', 'STLY Revenue'].values[0]
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return f"OTB Revenue (August): {otb_august}\nSTLY Revenue (August): {stly_august}"
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except:
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return "I couldn't find OTB Revenue data for August in your file."
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elif "occupancy" in message_lower and "august" in message_lower:
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try:
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occ_actual = df.loc[df['Month'] == 'August', 'Occupancy %'].values[0]
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occ_target = df.loc[df['Month'] == 'August', 'Budgeted Occupancy %'].values[0]
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if occ_actual >= occ_target:
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return f"Occupancy for August is {occ_actual}% vs target {occ_target}% ✅ On track!"
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else:
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return f"Occupancy for August is {occ_actual}% vs target {occ_target}% ⚠️ Might not meet target."
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except:
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return "I couldn't find occupancy data for August in your file."
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else:
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return "Sorry, I can only answer about OTB Revenue and Occupancy for now. (You can extend me with more rules!)"
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with gr.Blocks() as demo:
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gr.Markdown("# 📊 OtelAI Excel Q&A Agent")
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gr.Markdown("Upload an Excel report and then ask questions about OTB revenue or occupancy.")
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with gr.Row():
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with gr.Column():
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file_input = gr.File(label="Upload Excel file", type="file")
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upload_output = gr.Textbox(label="Upload status")
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file_input.upload(upload_excel, file_input, upload_output)
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gr.ChatInterface(fn=chat_agent, title="Excel Chat Agent")
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demo.launch()
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requirements.txt
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pandas
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openpyxl
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gradio
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