#
# A conversational AI solution for e-commerce that automates product inquiries,
# order management, and complaint resolution while maintaining customer context,
# history, and secure evidence-based complaint handling.
#
#
# Powered by SparkBrains
#
#
A conversational AI solution for e-commerce that automates product inquiries,
order management, and complaint resolution while maintaining customer context,
history, and secure evidence-based complaint handling.
Powered by SparkBrains
"""
)
# MUST BE ALIGNED WITH gr.HTML (same indentation)
initial_session = int(uuid.uuid4().int % 1000000)
session_state = gr.State(value=initial_session)
with gr.Row():
with gr.Column(scale=1, elem_classes="how-to-use"):
gr.Markdown("""
### How to Use:
1. **Chat**: Talk to AI for product recommendations, place orders, or file complaints
2. **My Complaints**: Track complaint status and view evidence
""")
with gr.Column(scale=3):
with gr.Tabs():
with gr.Tab("Chat with Support"):
chatbot = gr.Chatbot(height=550)
# CENTERED FILE UPLOAD BUTTON - placed right below chatbot
with gr.Row(elem_classes="centered-file-container"):
file_input = gr.File(
file_types=["image", "video", ".jpg", ".jpeg", ".png", ".mp4", ".mov"],
file_count="single",
visible=False,
elem_id="evidence-upload"
)
msg_input = gr.Textbox(
placeholder="Type your message here...",
label="Your Message",
lines=1
)
with gr.Row(elem_classes="compact-action-row"):
send_btn = gr.Button("Send", variant="secondary", size="xs", scale=1, elem_classes="compact-btn")
clear_btn = gr.Button("Clear", variant="secondary", size="xs", scale=1, elem_classes="compact-btn")
def respond(message, chat_history, file_path, session_id):
"""Handle user message and bot response"""
if not message or not message.strip():
return chat_history or [], session_id, None, ""
try:
bot_response, updated_session, file_visibility = chat_with_agent(message, file_path, session_id)
# Ensure chat_history is a list
if chat_history is None:
chat_history = []
# Gradio 6.0 expects messages format with role and content
chat_history.append({"role": "user", "content": message})
chat_history.append({"role": "assistant", "content": bot_response})
return chat_history, updated_session, file_visibility, ""
except Exception as e:
print(f"Error in respond function: {e}")
import traceback
traceback.print_exc()
error_msg = f"I apologize, but I encountered an error: {str(e)}"
if chat_history is None:
chat_history = []
chat_history.append({"role": "user", "content": message})
chat_history.append({"role": "assistant", "content": error_msg})
return chat_history, session_id, None, ""
send_btn.click(
respond,
inputs=[msg_input, chatbot, file_input, session_state],
outputs=[chatbot, session_state, file_input, msg_input]
)
msg_input.submit(
respond,
inputs=[msg_input, chatbot, file_input, session_state],
outputs=[chatbot, session_state, file_input, msg_input]
)
def clear_and_update():
new_session = int(uuid.uuid4().int % 1000000)
return [], new_session, gr.update(visible=False)
clear_btn.click(
clear_and_update,
outputs=[chatbot, session_state, file_input]
)
with gr.Tab("My Complaints", elem_classes="label-text"):
with gr.Column():
user_id_complaints = gr.Textbox(
label="Enter Your Order ID",
)
check_complaints_btn = gr.Button("View My Complaints", variant="primary", elem_classes='single-btn')
gr.Markdown("### Your Complaints")
complaints_output = gr.HTML(
value="""
#