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import gradio as gr
import os
from groq import Groq
import os
api_key = os.getenv("GROQ_API_KEY")
client = Groq(api_key=api_key)
#client = Groq(api_key= "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") # Assumes GROQ_API_KEY is in .env file
system_prompt = "You are a Travel Advisor. Provide helpful travel tips, recommend destinations, and suggest itineraries based on user queries."
def chatbot_response(user_message, history, output_length):
# Initialize chat history if None
if history is None:
history = []
# Build messages list
messages = [{"role": "system", "content": system_prompt}]
for user_msg, bot_msg in history:
messages.append({"role": "user", "content": user_msg})
messages.append({"role": "assistant", "content": bot_msg})
messages.append({"role": "user", "content": user_message})
# Adjust response length
length_modifier = {
"Concise": "Respond briefly.",
"Moderate": "Respond with a balanced explanation.",
"Explained": "Provide a detailed and thorough response."
}
messages.append({"role": "system", "content": length_modifier[output_length]})
# Call Groq API
response = client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=messages
)
# Update history
history.append((user_message, response.choices[0].message.content))
return history, history, "" # Return history for chatbot/state and "" to clear textbox
# Custom CSS for a travel-themed UI
custom_css = """
/* General container styling */
.gradio-container {
background: linear-gradient(to bottom, #e6f3ff, #ffffff);
font-family: 'Poppins', sans-serif;
color: #333;
}
/* Header styling */
h1, h3 {
color: #1a5f7a;
text-align: center;
text-shadow: 1px 1px 2px rgba(0,0,0,0.1);
}
/* Chatbot area */
.gr-chatbot {
background: #ffffff;
border-radius: 15px;
box-shadow: 0 4px 12px rgba(0,0,0,0.1);
padding: 20px;
max-height: 500px;
overflow-y: auto;
border: 2px solid #95c8d8;
}
/* Chat messages */
.gr-chatbot .message {
border-radius: 10px;
margin: 10px 0;
padding: 10px 15px;
}
.gr-chatbot .user {
background: #95c8d8;
color: #fff;
text-align: right;
}
.gr-chatbot .assistant {
background: #e6f3ff;
color: #333;
text-align: left;
}
/* Textbox */
.gr-textbox input {
border: 2px solid #95c8d8;
border-radius: 10px;
padding: 10px;
font-size: 16px;
transition: border-color 0.3s ease;
}
.gr-textbox input:focus {
border-color: #1a5f7a;
outline: none;
}
/* Radio buttons */
.gr-radio {
background: #ffffff;
border-radius: 10px;
padding: 15px;
border: 2px solid #95c8d8;
box-shadow: 0 2px 8px rgba(0,0,0,0.1);
}
.gr-radio label {
color: #1a5f7a;
font-weight: 600;
}
.gr-radio input[type="radio"]:checked + label {
color: #0a3d62;
}
/* Buttons */
.gr-button {
background: #1a5f7a;
color: #ffffff;
border: none;
border-radius: 10px;
padding: 10px 20px;
font-size: 16px;
font-weight: 600;
transition: background 0.3s ease, transform 0.2s ease;
}
.gr-button:hover {
background: #0a3d62;
transform: translateY(-2px);
}
.gr-button:active {
transform: translateY(0);
}
/* Row layout */
.gr-row {
gap: 20px;
}
/* Add a subtle background image */
body::before {
content: '';
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
background: url('https://www.transparenttextures.com/patterns/white-wave.png');
opacity: 0.1;
z-index: -1;
}
"""
# Create Gradio interface with Blocks
with gr.Blocks(css=custom_css) as demo:
gr.Markdown("# 🌍 My Travel Advisor Chatbot")
gr.Markdown("Embark on your next adventure with personalized travel tips and itineraries!")
# Chatbot display
chatbot = gr.Chatbot(label="Travel Chat", height=500)
# Input components
with gr.Row():
user_message = gr.Textbox(
label="Your Travel Question",
placeholder="Ask about destinations, tips, or itineraries...",
lines=2
)
output_length = gr.Radio(
choices=["Concise", "Moderate", "Explained"],
value="Moderate",
label="Response Length",
info="Choose how detailed you want the response to be."
)
# Submit and clear buttons
with gr.Row():
submit_button = gr.Button("Send")
clear_button = gr.Button("Clear Chat")
# State to store chat history
chat_state = gr.State(value=[])
# Connect button to function
submit_button.click(
fn=chatbot_response,
inputs=[user_message, chat_state, output_length],
outputs=[chatbot, chat_state, user_message]
)
# Clear chat functionality
clear_button.click(
fn=lambda: ([], [], ""),
inputs=None,
outputs=[chatbot, chat_state, user_message]
)
# Launch the app
demo.launch() |