app

app.py

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+import spacy
+import streamlit as st
+import re
+import random
+import json
+
+# Load the trained model
+nlp = spacy.load("en_pipeline")
+
+# Load FAQs
+with open("faq.json") as f:
+    faqs = json.load(f)["faqs"]
+
+start_index = random.randint(0, len(faqs) - 5)
+end_index = start_index + 5
+
+# Define intents and responses
+intents_responses = {
+    "get_invoice": "Here is a link to download your invoice: [link_to_invoice].",
+    "payment_issue": "If you're facing payment issues, please check your payment method and try again.",
+    "check_invoice": "Your invoice details are available here: [link_to_invoice_details].",
+    "contact_customer_service": "You can reach our customer service at 1-800-123-456 or email [email protected].",
+    "complain": "We have logged your complaint. Our team will review it and get back to you shortly.",
+    "review": "Thank you for your review. We value your feedback and will use it to improve our services.",
+    "cancel_order": "Your order has been successfully canceled.",
+    "check_cancellation_fee": "There is no cancellation fee if you cancel within 24 hours of placing the order.",
+    "check_payment_methods": "We accept Visa, MasterCard, American Express, and PayPal.",
+    "set_up_shipping_address": "Your shipping address has been updated successfully.",
+    "track_order": "Your order is currently in transit and will be delivered by the estimated date.",
+    "place_order": "Your order has been placed successfully. You will receive a confirmation email shortly.",
+    "check_refund_policy": "Our refund policy states that refunds can be requested within 30 days of purchase.",
+    "get_refund": "Your refund has been processed and will be credited to your account within 5-7 business days.",
+    "registration_problems": "If you're having trouble registering, please try clearing your browser cache and cookies.",
+    "recover_password": "To recover your password, please click the 'Forgot Password' link on the login page.",
+    "track_refund": "Your refund is being processed and should be completed within 5-7 business days.",
+    "newsletter_subscription": "You have successfully subscribed to our newsletter.",
+    "create_account": "Your account has been created successfully. You can now log in using your credentials.",
+    "delivery_options": "We offer standard, express, and next-day delivery options.",
+    "delete_account": "Your account has been deleted successfully.",
+    "delivery_period": "Standard delivery takes 3-5 business days, while express delivery takes 1-2 business days.",
+    "edit_account": "Your account details have been updated successfully.",
+    "change_order": "Your order has been updated successfully.",
+    "switch_account": "You have successfully switched to your new account.",
+    "change_shipping_address": "You can change the shipping address in the orders section.",
+    "contact_human_agent": "You are now being connected to a human agent. Please hold on."
+}
+
+
+# Greeting and farewell patterns
+greeting_patterns = re.compile(r'\b(hi|hello|hey|greetings|good morning|good afternoon|good evening|how are you|hiya|howdy|what’s up|sup|yo)\b', re.IGNORECASE)
+farewell_patterns = re.compile(r'\b(bye|thankyou|thanks|okay|goodbye|see you|farewell|take care|later|peace|cheers|goodnight|cya)\b', re.IGNORECASE)
+
+# Set the confidence threshold
+CONFIDENCE_THRESHOLD = 0.7
+
+def get_intent(text):
+    doc = nlp(text)
+    intent = max(doc.cats, key=doc.cats.get)
+    confidence = doc.cats[intent]
+    return intent, confidence
+
+def get_response(text):
+    if greeting_patterns.search(text):
+        return "Hello! How can I assist you today?"
+    elif farewell_patterns.search(text):
+        return "Thank you for chatting. Have a great day!"
+    else:
+        intent, confidence = get_intent(text)
+        # print(intent,confidence)
+        if confidence >= CONFIDENCE_THRESHOLD:
+            return intents_responses.get(intent, "I'm not sure how to respond to that. Can you please rephrase your question?")
+        else:
+            return "I'm not quite sure what you're asking. Could you please provide more details or rephrase your question?"
+
+
+
+# Initialize session state
+if 'chat_history' not in st.session_state:
+    st.session_state.chat_history = []
+if 'processing' not in st.session_state:
+    st.session_state.processing = False
+
+# Streamlit app
+st.title("Customer Support Chatbot")
+multi = '''
+Here are some topics you can ask about:
+- Return policy
+- Order tracking
+- Shipping information
+- Payment methods
+- Customer support
+'''
+
+with st.expander("**Hi, ask me anything related to our policies and services!**"):
+    st.markdown(multi)
+
+# CSS styles for chat messages
+st.markdown("""
+<style>
+.user-msg {
+    color: #fff;
+    padding: 8px 12px;
+    border-radius: 10px;
+    margin-block: 5px;
+    left-margin:auto;
+    text-align: right;
+}
+.bot-msg {
+    background-color: #F1F0F0;
+    color: #000000;
+    padding: 8px 12px;
+    border-radius: 10px;
+    margin: 5px;
+    text-align: left;
+    width:fit-content;
+}
+.chat-container {
+    display: flex;
+    flex-direction: column;
+}
+</style>
+""", unsafe_allow_html=True)
+
+# Display chat history
+st.subheader("Chat History")
+chat_container = st.container()
+
+# Create a form to handle user input
+with st.form(key='chat_form', clear_on_submit=True):
+    user_input = st.text_input("You:", key="user_input")
+    submit_button = st.form_submit_button(label='Send')
+
+# Handle user input
+if submit_button and user_input and not st.session_state.processing:
+    st.session_state.processing = True
+    with st.spinner('Processing...'):
+        response = get_response(user_input)
+        # Append user query and response to chat history
+        st.session_state.chat_history.append(("You", user_input))
+        st.session_state.chat_history.append(("Bot", response))
+    st.session_state.processing = False
+
+st.write("Frequently Asked Questions:")
+faq_buttons = [st.button(faq['question'], key=f"faq_{i}") for i, faq in enumerate(faqs[0:5])]
+
+# Checking if any FAQ button is clicked
+for i, faq_button in enumerate(faq_buttons):
+    if faq_button and not st.session_state.processing:
+        st.session_state.processing = True
+        user_input = faqs[i]['question']
+        with st.spinner('Processing...'):
+            response = get_response(user_input)
+            # Append user query and response to chat history
+            st.session_state.chat_history.append(("You", user_input))
+            st.session_state.chat_history.append(("Bot", response))
+            # Display chat history in the container
+        st.session_state.processing = False
+
+# Display chat history in the container
+with chat_container:
+    for role, message in st.session_state.chat_history:
+        if role == "You":
+            st.markdown(f'<div class="chat-container"><div class="user-msg">{message}</div></div>', unsafe_allow_html=True)
+        else:
+            st.markdown(f'<div class="chat-container"><div class="bot-msg">{message}</div></div>', unsafe_allow_html=True)
+
+# Automatically scroll to the bottom of the chat
+st.markdown('<script>window.scrollTo(0,document.body.scrollHeight);</script>', unsafe_allow_html=True)

requirements.txt

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+fastapi
+uvicorn
+spacy
+en_pipeline@https://huggingface.co/Jayanth-MKV/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl