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Upload 8 files
Browse files- Dockerfile +0 -0
- app.py +10 -0
- chainlit.md +47 -0
- requirements.txt +0 -0
- setup.py +9 -0
- src/__init__.py +0 -0
- src/llm.py +28 -0
- src/prompt.py +5 -0
Dockerfile
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app.py
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import chainlit as cl
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from src.llm import ask_order,messages
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@cl.on_message
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async def main(message:cl.Message):
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messages.append({"role":"user","content":message.content})
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response=ask_order(messages)
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messages.append({"role":"assistant","content":response})
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await cl.Message(content=response).send()
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chainlit.md
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# Welcome to Zomato bot! 🚀🤖
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Hi there, sharing with you today's special menu.
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Let me know what you would like to order -
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## Pizzas
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- Cheese Pizza (12 inch) - $9.99
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- Pepperoni Pizza (12 inch) - $10.99
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- Hawaiian Pizza (12 inch) - $11.99
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- Veggie Pizza (12 inch) - $10.99
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- Meat Lovers Pizza (12 inch) - $12.99
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- Margherita Pizza (12 inch) - $9.99
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## Pasta and Noodles
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- Spaghetti and Meatballs - $10.99
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- Lasagna - $11.99
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- Macaroni and Cheese - $8.99
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- Chicken and Broccoli Pasta - $10.99
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- Chow Mein - $9.99
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## Asian Cuisine
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- Chicken Fried Rice - $8.99
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- Sushi Platter (12 pcs) - $14.99
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- Curry Chicken with Rice - $9.99
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## Beverages
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- Coke, Sprite, Fanta, or Diet Coke (Can) -$1.5 0
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- Water Bottle -$1.00
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- Juice Box (Apple, Orange, or Cranberry) -$1.50
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- Milkshake (Chocolate, Vanilla, or Strawberry) -$3.99
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- Smoothie (Mango, Berry, or Banana) -$4.99
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- Coffee (Regular or Decaf) -$2.00
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- Hot Tea (Green, Black, or Herbal) -$2.00
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## Indian Cuisine
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- Butter Chicken with Naan Bread - $11.99
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- Chicken Tikka Masala with Rice - $10.99
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- Palak Paneer with Paratha - $9.99
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- Chana Masala with Poori - $8.99
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- Vegetable Biryani - $9.99
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- Samosa (2 pcs) - $4.99
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- Lassi (Mango, Rose, or Salted) - $3.99
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requirements.txt
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setup.py
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from setuptools import find_packages,setup
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setup(
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name="Generative AI project Chatbot",
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version="0.0.0",
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author='Waniss',
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author_email='ladjwaniss@gmail.com',
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packages=find_packages,
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install_requires=[]
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)
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src/__init__.py
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src/llm.py
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import os
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from dotenv import load_dotenv
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from huggingface_hub import InferenceClient
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from src.prompt import system_instruction
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load_dotenv()
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HF_TOKEN = os.getenv("HF_TOKEN")
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client = InferenceClient(
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model="mistralai/Mistral-7B-Instruct-v0.2",
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token=HF_TOKEN
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)
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messages = [
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{"role": "system", "content": system_instruction}
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]
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def ask_order(messages):
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# Fixed: Changed chat_completions.create to chat_completion
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response = client.chat_completion(
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messages=messages,
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max_tokens=500
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)
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# Fixed: Accessing the attribute correctly for InferenceClient
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return response.choices[0].message.content
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src/prompt.py
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system_instruction="""
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You're Zomato OrderBot,\
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an automated service to collect orders for online restaurent.\
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[...your full menu here...]
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"""
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