Spaces:
Sleeping
Sleeping
Upload 4 files
Browse files- README.md +10 -0
- app.py +119 -0
- gitattributes +35 -0
- requirements.txt +6 -0
README.md
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
title: Cinco Return Chatbot
|
| 3 |
+
emoji: π€
|
| 4 |
+
colorFrom: blue
|
| 5 |
+
colorTo: green
|
| 6 |
+
sdk: gradio
|
| 7 |
+
sdk_version: "3.50.2"
|
| 8 |
+
app_file: app.py
|
| 9 |
+
pinned: false
|
| 10 |
+
---
|
app.py
ADDED
|
@@ -0,0 +1,119 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
|
| 3 |
+
|
| 4 |
+
# Load a lightweight, CPU-friendly model
|
| 5 |
+
model_id = "google/flan-t5-base"
|
| 6 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 7 |
+
model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
|
| 8 |
+
|
| 9 |
+
# Pipeline setup
|
| 10 |
+
chatbot = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
|
| 11 |
+
|
| 12 |
+
# Function to format prompt for chat-like interaction
|
| 13 |
+
#def format_prompt(history, user_input):
|
| 14 |
+
# base_prompt = (
|
| 15 |
+
# "You are Cinco, a helpful and friendly customer support assistant. "
|
| 16 |
+
# "Answer customer questions politely and clearly about product returns, refunds, and exchanges.\n\n"
|
| 17 |
+
#)
|
| 18 |
+
#for user, bot in history:
|
| 19 |
+
# base_prompt += f"Customer: {user}\nCinco Assistant: {bot}\n"
|
| 20 |
+
#base_prompt += f"Customer: {user_input}\nCinco Assistant:"
|
| 21 |
+
#return base_prompt
|
| 22 |
+
|
| 23 |
+
def format_prompt(history, user_input):
|
| 24 |
+
policy_context = (
|
| 25 |
+
"Cinco Return Policy Guidelines:\n"
|
| 26 |
+
"- π **Returns Window**: Items may be returned **within 30 days** from the date of purchase.\n"
|
| 27 |
+
"- π§Ύ **Proof of Purchase**: A **valid receipt or order confirmation** is required for all returns and refunds.\n"
|
| 28 |
+
"- π¦ **Item Condition**: Returned products must be in **original condition**, meaning **unused, unwashed, with tags still attached**.\n"
|
| 29 |
+
"- π³ **Refunds**: Refunds will be processed to the **original method of payment** (e.g., credit card, debit card, PayPal).\n"
|
| 30 |
+
"- π **Exchanges**: Each item is eligible for **a one-time exchange only**, subject to availability.\n"
|
| 31 |
+
"- π« **Non-Returnable Items**: Items that have been **used, washed, or worn**, or returned **without a receipt**, **cannot be accepted** for return or exchange.\n"
|
| 32 |
+
"- π **Gifts**: Gift returns require a **gift receipt** and will be refunded via **Cinco gift card**.\n"
|
| 33 |
+
"- π **Online Orders**: For items bought online, customers can return via **mail** or in **any Cinco retail store** with a printed invoice.\n"
|
| 34 |
+
"- β **Processing Time**: Please allow **5β7 business days** after the item is received for the refund to reflect.\n"
|
| 35 |
+
"- ποΈ **Final Sale Items**: Some products (e.g., clearance or promotional items) are marked as **final sale** and are **not eligible** for return or exchange.\n\n"
|
| 36 |
+
)
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
intro = "You are Cinco Assistant, a helpful and polite customer support agent for the clothing brand Cinco.\n"
|
| 40 |
+
|
| 41 |
+
# Include history if any
|
| 42 |
+
formatted_history = ""
|
| 43 |
+
if history:
|
| 44 |
+
for i, (user_q, bot_a) in enumerate(history):
|
| 45 |
+
formatted_history += f"Customer: {user_q}\nCinco Assistant: {bot_a}\n"
|
| 46 |
+
|
| 47 |
+
current_question = f"Customer: {user_input}\nCinco Assistant:"
|
| 48 |
+
|
| 49 |
+
# Combine everything
|
| 50 |
+
prompt = (
|
| 51 |
+
intro
|
| 52 |
+
+ policy_context
|
| 53 |
+
+ "Use the above return policy to answer the customer's question below.\n\n"
|
| 54 |
+
+ formatted_history
|
| 55 |
+
+ current_question
|
| 56 |
+
)
|
| 57 |
+
|
| 58 |
+
return prompt
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
# Chatbot logic
|
| 62 |
+
def chat_fn(user_input, history):
|
| 63 |
+
history = history or []
|
| 64 |
+
prompt = format_prompt(history, user_input)
|
| 65 |
+
response = chatbot(prompt, max_length=256, do_sample=False, clean_up_tokenization_spaces=True)[0]["generated_text"]
|
| 66 |
+
|
| 67 |
+
if "Cinco Assistant:" in response:
|
| 68 |
+
assistant_reply = response.split("Cinco Assistant:")[-1].strip()
|
| 69 |
+
else:
|
| 70 |
+
assistant_reply = response.strip()
|
| 71 |
+
|
| 72 |
+
history.append((user_input, assistant_reply))
|
| 73 |
+
return "", history, history # return history twice: one for state, one for Chatbot UI
|
| 74 |
+
|
| 75 |
+
# Enhanced UI with better layout and visuals
|
| 76 |
+
with gr.Blocks(title="Cinco Returns Chatbot") as demo:
|
| 77 |
+
gr.Markdown("""
|
| 78 |
+
# π§Ύ Cinco Returns Chatbot
|
| 79 |
+
Welcome to the Cinco Returns Assistant. Ask your questions about returns, refunds, and exchanges.
|
| 80 |
+
|
| 81 |
+
### π¬ Example Questions:
|
| 82 |
+
- *Can I return a sweater I no longer want?*
|
| 83 |
+
- *What if I donβt have a receipt?*
|
| 84 |
+
- *Can I exchange a used item?*
|
| 85 |
+
""")
|
| 86 |
+
|
| 87 |
+
with gr.Box():
|
| 88 |
+
chatbot_ui = gr.Chatbot(label="Cinco Assistant", show_label=False, height=400)
|
| 89 |
+
|
| 90 |
+
with gr.Row():
|
| 91 |
+
user_input = gr.Textbox(
|
| 92 |
+
placeholder="Type your question here (e.g., I want to return a sweater)...",
|
| 93 |
+
scale=9,
|
| 94 |
+
show_label=False,
|
| 95 |
+
lines=2
|
| 96 |
+
)
|
| 97 |
+
submit_btn = gr.Button("Send", variant="primary", scale=1)
|
| 98 |
+
|
| 99 |
+
state = gr.State([])
|
| 100 |
+
|
| 101 |
+
submit_btn.click(
|
| 102 |
+
fn=chat_fn,
|
| 103 |
+
inputs=[user_input, state],
|
| 104 |
+
outputs=[user_input, state, chatbot_ui] # return history to both state and Chatbot
|
| 105 |
+
)
|
| 106 |
+
user_input.submit(
|
| 107 |
+
fn=chat_fn,
|
| 108 |
+
inputs=[user_input, state],
|
| 109 |
+
outputs=[user_input, state, chatbot_ui]
|
| 110 |
+
)
|
| 111 |
+
|
| 112 |
+
|
| 113 |
+
gr.Markdown("""
|
| 114 |
+
---
|
| 115 |
+
π€ Powered by [FLAN-T5](https://huggingface.co/google/flan-t5-base) on Hugging Face Spaces.
|
| 116 |
+
""")
|
| 117 |
+
|
| 118 |
+
if __name__ == "__main__":
|
| 119 |
+
demo.launch()
|
gitattributes
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
requirements.txt
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
transformers==4.40.0
|
| 2 |
+
gradio==4.44.1
|
| 3 |
+
torch
|
| 4 |
+
faiss-cpu
|
| 5 |
+
sentence-transformers
|
| 6 |
+
accelerate>=0.26.0
|