Upload folder using huggingface_hub
Browse files- .env +2 -0
- README.md +3 -9
- add_inventory.py +107 -0
- add_to_sandbox.py +225 -0
- data.csv +23 -0
- demo.py +125 -0
- requirements.txt +7 -0
- tour_op.xlsx +0 -0
.env
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SQUARE_ACCESS_TOKEN='EAAAEML3fhAnLQWySWj9SFXUyGUny2E_ydlJKBWhWUi8GlOmlLv9EnbNocbigitJ'
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PALM="AIzaSyC0_TYwdyNsDHKHrRdzLlPQJFiq8mOvsPE"
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README.md
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---
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title:
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colorFrom: yellow
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colorTo: blue
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: exponeto
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app_file: demo.py
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sdk: gradio
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sdk_version: 3.48.0
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---
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add_inventory.py
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# Import the necessary modules from the squareup library and uuid module
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from square.client import Client
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import os
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from dotenv import load_dotenv
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import uuid
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import datetime
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load_dotenv()
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now = datetime.datetime.utcnow()
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formatted_time = now.isoformat(timespec='microseconds')
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# Create a client object with your sandbox access token and environment
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client = Client(
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access_token=os.environ['SQUARE_ACCESS_TOKEN'],
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environment='sandbox'
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)
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# Create a dictionary of food items with name and price as keys
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food_items = {
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"pizza": 10.00,
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"burger": 8.00,
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"salad": 6.00,
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"orange juice": 2.00,
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"iced tea": 3.00,
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"Ice coffee": 3.00,
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"Chicken": 5.00,
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"Steak": 10.00,
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"Mashed Potatoes": 4.00,
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"Soup": 2.00,
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"Sandwich": 5.50,
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"Pasta": 3.50,
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"Coffee": 3.00,
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"Cappuccino": 3.00,
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"Latte": 3.00,
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"Americano": 3.00,
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"Hot Chocolate": 3.00,
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"Muffin": 4.00,
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"Cookie": 2.00,
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"Croissant": 3.00,
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"Tea": 2.00,
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"Apple Juice": 2.00
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}
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# Iterate over the food items dictionary
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for name, price in food_items.items():
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idempotency_key = str(uuid.uuid4())
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# Create an item variation for the item
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variation = {
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'type': 'ITEM_VARIATION',
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'id': f'#{str(uuid.uuid4())}',
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'item_variation_data': {
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'item_id': f'#{name}',
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'pricing_type': 'FIXED_PRICING',
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'price_money': {
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'amount': int(price * 100), # Convert price to cents
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'currency': 'USD'
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}
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}
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}
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# Create the catalog object and retrieve the catalog object id
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catalog_object = {
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'idempotency_key': idempotency_key,
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'object': {
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'id': f'#{name}',
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'type': 'ITEM',
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'item_data': {
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'name': name,
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'variations': [variation]
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}
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}
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}
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response = client.catalog.upsert_catalog_object(body=catalog_object)
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print("\nCATALOGUE STATUS:", response.status_code)
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print("\nCATALOGUE RESPONSE:", response.body)
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catalog_object_id = response.body['catalog_object']['item_data']['variations'][0]['id']
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created_at = response.body['catalog_object']['created_at']
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# Create an inventory adjustment for the catalog object
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inventory_adjustment = {
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'idempotency_key': idempotency_key,
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'changes': [
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{
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'type': 'PHYSICAL_COUNT',
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'physical_count': {
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'catalog_object_id': catalog_object_id,
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'state': 'IN_STOCK',
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'location_id': 'LFA70NPRQAEV1',
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'quantity': '53',
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'occurred_at': created_at
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}
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}
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],
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'ignore_unchanged_counts': True
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}
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# Apply the inventory adjustment
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try:
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response = client.inventory.batch_change_inventory(
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inventory_adjustment)
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print("\nINVENTORY STATUS:", response.status_code)
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print("\nINVENTORY RESPONSE", response.body)
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print(f"Added {name} to inventory successfully.")
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except:
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continue
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add_to_sandbox.py
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from square.client import Client, inventory_api
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from dotenv import load_dotenv
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import os
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import square as square
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load_dotenv()
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client = Client(
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access_token=os.environ['SQUARE_ACCESS_TOKEN'],
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environment='sandbox')
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inventoryApi = inventory_api.batch_change_inventoryi(client)
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coffee_shop_items = {
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'Coffee': {
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'name': 'Coffee',
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'description': 'A classic coffee drink.',
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| 17 |
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'quantity': 10,
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'price': 3.00
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},
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'Latte': {
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'name': 'Latte',
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'description': 'A coffee drink with steamed milk.',
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'quantity': 10,
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'price': 4.00
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},
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'Cappuccino': {
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'name': 'Cappuccino',
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'description': 'A coffee drink with steamed milk and foamed milk.',
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| 29 |
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'quantity': 10,
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'price': 4.50
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},
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'Americano': {
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'name': 'Americano',
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'description': 'A coffee drink with hot water and espresso.',
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'quantity': 10,
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'price': 3.50
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},
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'Mocha': {
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'name': 'Mocha',
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'description': 'A coffee drink with chocolate and steamed milk.',
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'quantity': 10,
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'price': 4.00
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},
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| 44 |
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'Tea': {
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'name': 'Tea',
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'description': 'A hot drink made with tea leaves and water.',
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| 47 |
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'quantity': 10,
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'price': 2.50
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},
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'Hot Chocolate': {
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'name': 'Hot Chocolate',
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'description': 'A hot drink made with chocolate and milk.',
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| 53 |
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'quantity': 10,
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| 54 |
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'price': 3.00
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| 55 |
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},
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'Croissant': {
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'name': 'Croissant',
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| 58 |
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'description': 'A flaky pastry.',
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| 59 |
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'quantity': 10,
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'price': 2.00
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},
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'Muffin': {
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'name': 'Muffin',
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'description': 'A quick bread made with flour, sugar, eggs, and butter.',
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'quantity': 10,
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'price': 2.50
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},
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'Cookie': {
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'name': 'Cookie',
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'description': 'A sweet treat made with flour, sugar, eggs, and butter.',
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| 71 |
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'quantity': 10,
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'price': 1.50
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},
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"Pizza": {
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| 76 |
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'name': 'Pizza',
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'description': 'A classic Italian dish made with dough, tomato sauce, and cheese.',
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'quantity': 10,
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'price': 15.00
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},
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"Pasta":
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{
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'name': 'Pasta',
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| 85 |
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'description': 'A staple of Italian cuisine, pasta is available in a variety of shapes and sizes and can be served with a variety of sauces and toppings.',
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'quantity': 10,
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'price': 12.00
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},
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"Burger":
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{
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'name': 'Burger',
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'description': 'A ground beef patty served on a bun with lettuce, tomato, and onion.',
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'quantity': 10,
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'price': 14.00
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},
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"Sandwich":
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{
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'name': 'Sandwich',
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'description': 'A sandwich is a food item consisting of one or more slices of bread with a filling between them. Sandwiches can be filled with a variety of ingredients, such as meat, cheese, vegetables, and condiments.',
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'quantity': 10,
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'price': 10.00
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},
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"Salad":
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| 104 |
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{
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'name': 'Salad',
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| 106 |
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'description': 'A salad is a dish of mixed raw vegetables, often with a dressing. Salads can be served as a main course or as a side dish.',
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| 107 |
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'quantity': 10,
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'price': 12.00
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},
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"Soup":
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| 112 |
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{
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'name': 'Soup',
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| 114 |
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'description': 'A soup is a liquid food made by combining water or other liquid with solid ingredients such as vegetables, meat, or grains. Soups can be served as a main course or as an appetizer.',
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| 115 |
+
'quantity': 10,
|
| 116 |
+
'price': 8.00
|
| 117 |
+
},
|
| 118 |
+
|
| 119 |
+
"Steak":
|
| 120 |
+
{
|
| 121 |
+
'name': 'Steak',
|
| 122 |
+
'description': 'A steak is a cut of meat that is grilled or pan-fried. Steaks are typically made from beef, but they can also be made from other meats, such as pork, lamb, or chicken.',
|
| 123 |
+
'quantity': 10,
|
| 124 |
+
'price': 25.00
|
| 125 |
+
},
|
| 126 |
+
|
| 127 |
+
"Seafood":
|
| 128 |
+
{
|
| 129 |
+
'name': 'Seafood',
|
| 130 |
+
'description': 'Seafood is a term used to describe any edible creature that lives in the water. Seafood can be cooked in a variety of ways, such as grilled, fried, or baked.',
|
| 131 |
+
'quantity': 10,
|
| 132 |
+
'price': 20.00
|
| 133 |
+
},
|
| 134 |
+
|
| 135 |
+
"Chicken":
|
| 136 |
+
{
|
| 137 |
+
'name': 'Chicken',
|
| 138 |
+
'description': 'Chicken is a type of poultry that is often raised for meat. Chicken can be cooked in a variety of ways, such as grilled, fried, or baked.',
|
| 139 |
+
'quantity': 10,
|
| 140 |
+
'price': 16.00
|
| 141 |
+
},
|
| 142 |
+
"Dessert":
|
| 143 |
+
{
|
| 144 |
+
'name': 'Dessert',
|
| 145 |
+
'description': 'Dessert is a sweet dish that is typically eaten at the end of a meal. Desserts can be made from a variety of ingredients, such as cake, ice cream, pie, and pudding.',
|
| 146 |
+
'quantity': 10,
|
| 147 |
+
'price': 6.00
|
| 148 |
+
},
|
| 149 |
+
'Iced Coffee': {
|
| 150 |
+
'name': 'Iced Coffee',
|
| 151 |
+
'description': 'A coffee drink that is served cold.',
|
| 152 |
+
'quantity': 10,
|
| 153 |
+
'price': 4.00
|
| 154 |
+
},
|
| 155 |
+
'Iced Tea': {
|
| 156 |
+
'name': 'Iced Tea',
|
| 157 |
+
'description': 'A tea drink that is served cold.',
|
| 158 |
+
'quantity': 10,
|
| 159 |
+
'price': 3.00
|
| 160 |
+
},
|
| 161 |
+
'Lemonade': {
|
| 162 |
+
'name': 'Lemonade',
|
| 163 |
+
'description': 'A drink made with lemon juice, water, and sugar.',
|
| 164 |
+
'quantity': 10,
|
| 165 |
+
'price': 2.50
|
| 166 |
+
},
|
| 167 |
+
'Iced Soda': {
|
| 168 |
+
'name': 'Iced Soda',
|
| 169 |
+
'description': 'A soda drink that is served cold.',
|
| 170 |
+
'quantity': 10,
|
| 171 |
+
'price': 2.00
|
| 172 |
+
},
|
| 173 |
+
'Fruit Juice': {
|
| 174 |
+
'name': 'Fruit Juice',
|
| 175 |
+
'description': 'A juice made from fruits.',
|
| 176 |
+
'quantity': 10,
|
| 177 |
+
'price': 3.00
|
| 178 |
+
},
|
| 179 |
+
'Smoothie': {
|
| 180 |
+
'name': 'Smoothie',
|
| 181 |
+
'description': 'A drink made from blended fruits, vegetables, and yogurt.',
|
| 182 |
+
'quantity': 10,
|
| 183 |
+
'price': 4.50
|
| 184 |
+
},
|
| 185 |
+
'Milkshake': {
|
| 186 |
+
'name': 'Milkshake',
|
| 187 |
+
'description': 'A drink made from blended ice cream, milk, and flavorings.',
|
| 188 |
+
'quantity': 10,
|
| 189 |
+
'price': 5.00
|
| 190 |
+
},
|
| 191 |
+
'Slushy': {
|
| 192 |
+
'name': 'Slushy',
|
| 193 |
+
'description': 'A semi-frozen drink made from flavored ice.',
|
| 194 |
+
'quantity': 10,
|
| 195 |
+
'price': 3.50
|
| 196 |
+
},
|
| 197 |
+
'Iced Frappuccino': {
|
| 198 |
+
'name': 'Iced Frappuccino',
|
| 199 |
+
'description': 'A coffee-based frozen drink from Starbucks.',
|
| 200 |
+
'quantity': 10,
|
| 201 |
+
'price': 5.50
|
| 202 |
+
},
|
| 203 |
+
'Iced Matcha Latte': {
|
| 204 |
+
'name': 'Iced Matcha Latte',
|
| 205 |
+
'description': 'A coffee drink made with matcha powder and steamed milk.',
|
| 206 |
+
'quantity': 10,
|
| 207 |
+
'price': 4.00
|
| 208 |
+
}
|
| 209 |
+
|
| 210 |
+
|
| 211 |
+
|
| 212 |
+
}
|
| 213 |
+
|
| 214 |
+
|
| 215 |
+
for item_name in coffee_shop_items:
|
| 216 |
+
item = coffee_shop_items[item_name]
|
| 217 |
+
|
| 218 |
+
inventory_item = inventoryApi.InventoryItem(
|
| 219 |
+
name=item['name'],
|
| 220 |
+
description=item['description'],
|
| 221 |
+
quantity=item['quantity'],
|
| 222 |
+
price=item['price']
|
| 223 |
+
)
|
| 224 |
+
|
| 225 |
+
inventory_api.create_inventory_item(inventory_item)
|
data.csv
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Item Name,SKU,Quantity,Location ID
|
| 2 |
+
XBCZS7P3ROZU3K3N4WFDEFVG,XBCZS7P3ROZU3K3N4WFDEFVG,53,LFA70NPRQAEV1
|
| 3 |
+
IWEDXCLRHNBSUJS6HPLJTEDD,IWEDXCLRHNBSUJS6HPLJTEDD,53,LFA70NPRQAEV1
|
| 4 |
+
4FSYGLKEYDVABXFKCO43PZAI,4FSYGLKEYDVABXFKCO43PZAI,53,LFA70NPRQAEV1
|
| 5 |
+
N4DWPFHENM5BMMQRYR5BMNFV,N4DWPFHENM5BMMQRYR5BMNFV,53,LFA70NPRQAEV1
|
| 6 |
+
RXBGD4OCGG6FHAED6TH2XNXW,RXBGD4OCGG6FHAED6TH2XNXW,53,LFA70NPRQAEV1
|
| 7 |
+
UVJIHZ6JKNPEQBEFEVGVG3DM,UVJIHZ6JKNPEQBEFEVGVG3DM,53,LFA70NPRQAEV1
|
| 8 |
+
DZJOLP43VANZSWQWIPLSQXBL,DZJOLP43VANZSWQWIPLSQXBL,53,LFA70NPRQAEV1
|
| 9 |
+
UHDPV6WBVBSPAZESIEKON3FS,UHDPV6WBVBSPAZESIEKON3FS,53,LFA70NPRQAEV1
|
| 10 |
+
WJIPZMFUHQLFS6SGR3CAPBR7,WJIPZMFUHQLFS6SGR3CAPBR7,53,LFA70NPRQAEV1
|
| 11 |
+
XJNGEUEUL4ZJ2NBQTUIWLX4E,XJNGEUEUL4ZJ2NBQTUIWLX4E,53,LFA70NPRQAEV1
|
| 12 |
+
KQVYTEPRXYWKSFOOBW34UPZA,KQVYTEPRXYWKSFOOBW34UPZA,53,LFA70NPRQAEV1
|
| 13 |
+
RY6E3ZU7MZR3NTQKHZ6XKKOV,RY6E3ZU7MZR3NTQKHZ6XKKOV,53,LFA70NPRQAEV1
|
| 14 |
+
2RMZKUUINRHWRKAMLTJEUCXK,2RMZKUUINRHWRKAMLTJEUCXK,53,LFA70NPRQAEV1
|
| 15 |
+
VTKZ7FPNGK6WT26WMVDGVETE,VTKZ7FPNGK6WT26WMVDGVETE,53,LFA70NPRQAEV1
|
| 16 |
+
VHL7BG2GOMZQ6IYC7SUDRNKP,VHL7BG2GOMZQ6IYC7SUDRNKP,53,LFA70NPRQAEV1
|
| 17 |
+
X6VRLLAT7TEEWM3WC6NQG3FL,X6VRLLAT7TEEWM3WC6NQG3FL,53,LFA70NPRQAEV1
|
| 18 |
+
OTNSHCHJJVGKU3AJY6DC4PH2,OTNSHCHJJVGKU3AJY6DC4PH2,53,LFA70NPRQAEV1
|
| 19 |
+
AWOIAZX7WJ7UXXK6YCKONJGG,AWOIAZX7WJ7UXXK6YCKONJGG,53,LFA70NPRQAEV1
|
| 20 |
+
5NWE6JNV5PS7LOTEW6YCEWE4,5NWE6JNV5PS7LOTEW6YCEWE4,53,LFA70NPRQAEV1
|
| 21 |
+
MJCQYCRQWNZYIGML2WCCIMZD,MJCQYCRQWNZYIGML2WCCIMZD,53,LFA70NPRQAEV1
|
| 22 |
+
AFS4QYVBR7UDX37I23YEXDU3,AFS4QYVBR7UDX37I23YEXDU3,53,LFA70NPRQAEV1
|
| 23 |
+
YS5IE4AANGC3QAQ323JIRCMP,YS5IE4AANGC3QAQ323JIRCMP,53,LFA70NPRQAEV1
|
demo.py
ADDED
|
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import pandas as pd
|
| 2 |
+
import pprint
|
| 3 |
+
import google.generativeai as palm
|
| 4 |
+
import pandas as pd
|
| 5 |
+
|
| 6 |
+
import os
|
| 7 |
+
|
| 8 |
+
from square.client import Client
|
| 9 |
+
import gradio as gr
|
| 10 |
+
import io
|
| 11 |
+
|
| 12 |
+
from langchain.agents import initialize_agent, AgentType
|
| 13 |
+
from langchain.llms import GooglePalm
|
| 14 |
+
import pandas as pd
|
| 15 |
+
#from yolopandas import pd
|
| 16 |
+
from langchain.chains.question_answering import load_qa_chain
|
| 17 |
+
from langchain import PromptTemplate, LLMChain
|
| 18 |
+
from langchain.agents import create_pandas_dataframe_agent
|
| 19 |
+
from langchain.tools import DuckDuckGoSearchRun
|
| 20 |
+
from pandasai import PandasAI
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
from dotenv import load_dotenv
|
| 24 |
+
|
| 25 |
+
load_dotenv()
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
client = Client(
|
| 29 |
+
access_token=os.environ['SQUARE_ACCESS_TOKEN'],
|
| 30 |
+
environment='sandbox')
|
| 31 |
+
|
| 32 |
+
location_id='LFA70NPRQAEV1'
|
| 33 |
+
|
| 34 |
+
palm.configure(api_key=os.environ['PALM'])
|
| 35 |
+
|
| 36 |
+
models = [m for m in palm.list_models(
|
| 37 |
+
) if 'generateText' in m.supported_generation_methods]
|
| 38 |
+
model = models[0].name
|
| 39 |
+
print(model)
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
load_dotenv()
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
# Define a function to fetch inventory items
|
| 47 |
+
|
| 48 |
+
def fetch_inventory_items():
|
| 49 |
+
response = client.inventory.batch_retrieve_inventory_counts(
|
| 50 |
+
body={
|
| 51 |
+
'catalog_object_ids': [],
|
| 52 |
+
'location_ids': []
|
| 53 |
+
}
|
| 54 |
+
)
|
| 55 |
+
print(response.status_code)
|
| 56 |
+
print(response.body)
|
| 57 |
+
inventory_items = response.body['counts']
|
| 58 |
+
|
| 59 |
+
items_data = []
|
| 60 |
+
for item in inventory_items:
|
| 61 |
+
item_data = {
|
| 62 |
+
'Item Name': item['catalog_object_id'],
|
| 63 |
+
# SKU not available in response, using catalog_object_id as a placeholder
|
| 64 |
+
'SKU': item['catalog_object_id'],
|
| 65 |
+
'Quantity': item['quantity'],
|
| 66 |
+
'Location ID': item['location_id']
|
| 67 |
+
}
|
| 68 |
+
items_data.append(item_data)
|
| 69 |
+
|
| 70 |
+
return items_data
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
# Fetch inventory items
|
| 74 |
+
inventory_items = fetch_inventory_items()
|
| 75 |
+
|
| 76 |
+
# Convert inventory data to a Pandas dataframe
|
| 77 |
+
df = pd.DataFrame(inventory_items)
|
| 78 |
+
|
| 79 |
+
|
| 80 |
+
# Print the dataframe
|
| 81 |
+
print(df)
|
| 82 |
+
df.to_csv("data.csv", index=False)
|
| 83 |
+
# Retrieve catalog objects
|
| 84 |
+
catalog_objects = client.catalog.batch_retrieve_catalog_objects(
|
| 85 |
+
body={
|
| 86 |
+
'object_ids': df['Item Name'].tolist(),
|
| 87 |
+
'include_related_objects': True
|
| 88 |
+
}
|
| 89 |
+
)
|
| 90 |
+
catalog_objects = catalog_objects.body['objects']
|
| 91 |
+
|
| 92 |
+
#print(catalog_objects)
|
| 93 |
+
#llm = GooglePalm(google_api_key=os.environ['PALM'])
|
| 94 |
+
#llm.temperature = 0.1
|
| 95 |
+
|
| 96 |
+
#prompts = ['Explain the difference between effective and affective with examples']
|
| 97 |
+
#llm_result = llm._generate(prompts)
|
| 98 |
+
|
| 99 |
+
#print(llm_result.generations[0][0].text)
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
|
| 103 |
+
|
| 104 |
+
|
| 105 |
+
def questiondocument(user_question):
|
| 106 |
+
load_dotenv()
|
| 107 |
+
#df = pd.read_csv("data.csv")
|
| 108 |
+
df = pd.read_excel("tour_op.xlsx")
|
| 109 |
+
|
| 110 |
+
agent = create_pandas_dataframe_agent(GooglePalm(temperature=0, google_api_key=os.environ['PALM']), df, agent="structured_chat-zero-shot-react-description", verbose=True)
|
| 111 |
+
response = agent.run(user_question)
|
| 112 |
+
#response = pandas_ai(df, prompt=user_question)
|
| 113 |
+
|
| 114 |
+
return response
|
| 115 |
+
|
| 116 |
+
|
| 117 |
+
demo = gr.Interface(
|
| 118 |
+
|
| 119 |
+
fn=questiondocument,
|
| 120 |
+
inputs=["text"],
|
| 121 |
+
outputs=["text"],
|
| 122 |
+
title="Ask Busy Helper",
|
| 123 |
+
)
|
| 124 |
+
demo.launch(share=True)
|
| 125 |
+
|
requirements.txt
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
squareup
|
| 2 |
+
google-generativeai
|
| 3 |
+
python-dotenv
|
| 4 |
+
pandas
|
| 5 |
+
langchain
|
| 6 |
+
gradio
|
| 7 |
+
openpyxl
|
tour_op.xlsx
ADDED
|
Binary file (14.5 kB). View file
|
|
|