Create Main.py

Chatbot business model.

Main.py

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+import gradio as gr
+import random
+import time
+
+# Business information - customize this for your business
+BUSINESS_INFO = {
+    "name": "TechGadget Store",
+    "hours": "9AM-6PM Monday to Saturday",
+    "products": "smartphones, laptops, tablets, and accessories",
+    "address": "123 Main Street, Tech City",
+    "phone": "(555) 123-4567",
+    "email": "[email protected]",
+    "return_policy": "30-day money-back guarantee on all products",
+    "shipping": "Free shipping on orders over $50"
+}
+
+# Sample product database
+PRODUCTS = {
+    "smartphone": {
+        "basic": {"name": "BasicPhone", "price": "$199", "features": "6.1\" display, 128GB storage"},
+        "pro": {"name": "ProPhone X", "price": "$899", "features": "6.7\" OLED, 512GB, 5G"}
+    },
+    "laptop": {
+        "standard": {"name": "WorkBook Lite", "price": "$699", "features": "15\" display, 8GB RAM, 256GB SSD"},
+        "premium": {"name": "WorkBook Pro", "price": "$1499", "features": "16\" display, 16GB RAM, 1TB SSD"}
+    }
+}
+
+# Predefined responses for common queries
+def get_business_response(intent):
+    responses = {
+        "hours": f"Our store hours are {BUSINESS_INFO['hours']}.",
+        "location": f"We're located at {BUSINESS_INFO['address']}. Come visit us!",
+        "contact": f"You can reach us at {BUSINESS_INFO['phone']} or email {BUSINESS_INFO['email']}.",
+        "products": f"We offer a wide range of {BUSINESS_INFO['products']}. What specifically are you interested in?",
+        "returns": f"Our return policy: {BUSINESS_INFO['return_policy']}.",
+        "shipping": f"Shipping info: {BUSINESS_INFO['shipping']}.",
+        "greeting": "Hello! Welcome to TechGadget Store. How can I help you today?",
+        "thanks": "You're welcome! Is there anything else I can help you with?",
+        "goodbye": "Thank you for contacting TechGadget Store. Have a great day!"
+    }
+    return responses.get(intent, "I'm not sure how to help with that. Can you please rephrase?")
+
+# Function to handle product inquiries
+def handle_product_inquiry(product_type, model=None):
+    if product_type not in PRODUCTS:
+        return f"We don't carry that product. We mainly offer {', '.join(PRODUCTS.keys())}."
+    
+    if model:
+        if model in PRODUCTS[product_type]:
+            product = PRODUCTS[product_type][model]
+            return f"Our {model} {product_type} is the {product['name']}, priced at {product['price']}. Features: {product['features']}"
+        else:
+            return f"We don't have a {model} model for {product_type}. We have {', '.join(PRODUCTS[product_type].keys())}."
+    else:
+        models = PRODUCTS[product_type]
+        response = f"For {product_type}, we have: "
+        for model_name, details in models.items():
+            response += f"\n- {model_name}: {details['name']} ({details['price']})"
+        return response
+
+# Main chat function
+def chat_with_bot(message, chat_history):
+    user_message = message.lower()
+    bot_response = ""
+
+    # Check for greetings
+    if any(word in user_message for word in ["hi", "hello", "hey", "greetings"]):
+        bot_response = get_business_response("greeting")
+    
+    # Check for thanks
+    elif any(word in user_message for word in ["thank", "appreciate", "thanks"]):
+        bot_response = get_business_response("thanks")
+    
+    # Check for goodbye
+    elif any(word in user_message for word in ["bye", "goodbye", "see you"]):
+        bot_response = get_business_response("goodbye")
+    
+    # Check for business hours
+    elif any(word in user_message for word in ["hour", "time", "open", "close"]):
+        bot_response = get_business_response("hours")
+    
+    # Check for location
+    elif any(word in user_message for word in ["where", "location", "address", "find"]):
+        bot_response = get_business_response("location")
+    
+    # Check for contact info
+    elif any(word in user_message for word in ["contact", "phone", "call", "email"]):
+        bot_response = get_business_response("contact")
+    
+    # Check for products
+    elif any(word in user_message for word in ["product", "sell", "offer", "item"]):
+        bot_response = get_business_response("products")
+    
+    # Check for returns
+    elif any(word in user_message for word in ["return", "exchange", "refund"]):
+        bot_response = get_business_response("returns")
+    
+    # Check for shipping
+    elif any(word in user_message for word in ["ship", "delivery", "deliver"]):
+        bot_response = get_business_response("shipping")
+    
+    # Handle product inquiries
+    elif any(word in user_message for word in ["smartphone", "phone"]):
+        if "pro" in user_message or "premium" in user_message:
+            bot_response = handle_product_inquiry("smartphone", "pro")
+        elif "basic" in user_message or "cheap" in user_message:
+            bot_response = handle_product_inquiry("smartphone", "basic")
+        else:
+            bot_response = handle_product_inquiry("smartphone")
+    
+    elif any(word in user_message for word in ["laptop", "computer"]):
+        if "pro" in user_message or "premium" in user_message:
+            bot_response = handle_product_inquiry("laptop", "premium")
+        elif "standard" in user_message or "basic" in user_message:
+            bot_response = handle_product_inquiry("laptop", "standard")
+        else:
+            bot_response = handle_product_inquiry("laptop")
+    
+    # Default response for unrecognized queries
+    else:
+        bot_response = "I'm here to help with information about our products, store hours, location, and policies. How can I assist you today?"
+
+    # Add a small delay to make it feel more natural
+    time.sleep(0.5)
+    
+    # Append to chat history
+    chat_history.append((message, bot_response))
+    
+    return "", chat_history
+
+# Custom CSS for styling
+custom_css = """
+#chatbot {
+    font-family: 'Arial', sans-serif;
+}
+.gr-button {
+    background-color: #4CAF50 !important;
+    color: white !important;
+}
+h1 {
+    color: #2C3E50;
+    text-align: center;
+}
+"""
+
+# Create the Gradio interface
+with gr.Blocks(css=custom_css, title="TechGadget Store Support") as demo:
+    gr.Markdown("# 🤖 TechGadget Store Support Chat")
+    gr.Markdown("### How can I help you with our products and services today?")
+    
+    with gr.Row():
+        with gr.Column(scale=2):
+            chatbot = gr.Chatbot(label="Conversation", elem_id="chatbot")
+            msg = gr.Textbox(
+                label="Type your message here...",
+                placeholder="What are your store hours?",
+                lines=1
+            )
+            clear = gr.Button("Clear Conversation")
+            
+        with gr.Column(scale=1):
+            gr.Markdown("### 💡 Common Questions")
+            gr.Examples(
+                examples=[
+                    ["What are your store hours?"],
+                    ["Where are you located?"],
+                    ["What smartphones do you sell?"],
+                    ["What is your return policy?"],
+                    ["Do you offer free shipping?"]
+                ],
+                inputs=msg
+            )
+            gr.Markdown("### 🏪 Store Information")
+            gr.Markdown(f"""
+            - **Hours**: {BUSINESS_INFO['hours']}
+            - **Address**: {BUSINESS_INFO['address']}
+            - **Phone**: {BUSINESS_INFO['phone']}
+            - **Email**: {BUSINESS_INFO['email']}
+            """)
+    
+    # Event handlers
+    msg.submit(chat_with_bot, [msg, chatbot], [msg, chatbot])
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+# Launch the application
+if __name__ == "__main__":
+    demo.launch(share=True)