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import gradio as gr
import os
from huggingface_hub import InferenceClient
from huggingface_hub.inference._generated.types.chat_completion import ChatCompletionStreamOutput
MODEL = "nomiChroma3.1"
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def respond(
message: str,
chat_history: list[dict],
) -> tuple[list[dict], str]:
"""
Generate a response and update chat history.
Uses the new message format with role and content keys.
Returns tuple of (new_history, None) to clear input box.
"""
system_message = "You are a maritime legal assistant with expertise strictly in Indian maritime law. Provide a detailed legal advice and information based on Indian maritime legal principles and regulations."
messages = [{"role": "system", "content": system_message}]
for msg in chat_history:
messages.append({"role": msg["role"], "content": msg["content"]})
messages.append({"role": "user", "content": message})
chat_history = chat_history + [{"role": "user", "content": message}]
response = ""
try:
for chunk in client.chat_completion(
messages,
max_tokens=512,
stream=True,
temperature=0.7,
top_p=0.95,
):
try:
if isinstance(chunk, ChatCompletionStreamOutput):
content = chunk.choices[0].delta.content
if content:
response += content
if len(chat_history) > 0 and chat_history[-1]["role"] == "assistant":
chat_history[-1]["content"] = response
else:
chat_history.append({"role": "assistant", "content": response})
yield chat_history, ""
if chunk.choices[0].finish_reason == 'stop':
break
elif isinstance(chunk, dict):
content = chunk.get('choices', [{}])[0].get('delta', {}).get('content')
if content:
response += content
if len(chat_history) > 0 and chat_history[-1]["role"] == "assistant":
chat_history[-1]["content"] = response
else:
chat_history.append({"role": "assistant", "content": response})
yield chat_history, ""
if chunk.get('choices', [{}])[0].get('finish_reason') == 'stop':
break
elif isinstance(chunk, str) and chunk.strip():
response += chunk
if len(chat_history) > 0 and chat_history[-1]["role"] == "assistant":
chat_history[-1]["content"] = response
else:
chat_history.append({"role": "assistant", "content": response})
yield chat_history, ""
except Exception as e:
print(f"Error processing chunk: {e}")
continue
if not response:
chat_history.append({"role": "assistant", "content": "I apologize, but I couldn't generate a response. Please try again."})
yield chat_history, ""
except Exception as e:
error_msg = f"An error occurred: {str(e)}"
chat_history.append({"role": "assistant", "content": error_msg})
yield chat_history, ""
def handle_example_click(example_query: str):
"""Handle example query click by returning the query and empty chat history"""
return example_query, []
# SVG Definitions
WAVE_SVG = """
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1440 320" preserveAspectRatio="none">
<defs>
<linearGradient id="waveGradient" x1="0%" y1="0%" x2="100%" y2="0%">
<stop offset="0%" style="stop-color:#1a365d;stop-opacity:0.2"/>
<stop offset="50%" style="stop-color:#2a4a7d;stop-opacity:0.3"/>
<stop offset="100%" style="stop-color:#1a365d;stop-opacity:0.2"/>
</linearGradient>
</defs>
<path fill="url(#waveGradient)" d="M0,192L48,197.3C96,203,192,213,288,229.3C384,245,480,267,576,250.7C672,235,768,181,864,181.3C960,181,1056,235,1152,234.7C1248,235,1344,181,1392,154.7L1440,128L1440,320L1392,320C1344,320,1248,320,1152,320C1056,320,960,320,864,320C768,320,672,320,576,320C480,320,384,320,288,320C192,320,96,320,48,320L0,320Z">
<animate attributeName="d"
dur="10s"
repeatCount="indefinite"
values="M0,192L48,197.3C96,203,192,213,288,229.3C384,245,480,267,576,250.7C672,235,768,181,864,181.3C960,181,1056,235,1152,234.7C1248,235,1344,181,1392,154.7L1440,128L1440,320L1392,320C1344,320,1248,320,1152,320C1056,320,960,320,864,320C768,320,672,320,576,320C480,320,384,320,288,320C192,320,96,320,48,320L0,320Z;
M0,160L48,181.3C96,203,192,245,288,261.3C384,277,480,267,576,234.7C672,203,768,149,864,138.7C960,128,1056,160,1152,186.7C1248,213,1344,235,1392,245.3L1440,256L1440,320L1392,320C1344,320,1248,320,1152,320C1056,320,960,320,864,320C768,320,672,320,576,320C480,320,384,320,288,320C192,320,96,320,48,320L0,320Z;
M0,192L48,197.3C96,203,192,213,288,229.3C384,245,480,267,576,250.7C672,235,768,181,864,181.3C960,181,1056,235,1152,234.7C1248,235,1344,181,1392,154.7L1440,128L1440,320L1392,320C1344,320,1248,320,1152,320C1056,320,960,320,864,320C768,320,672,320,576,320C480,320,384,320,288,320C192,320,96,320,48,320L0,320Z"/>
</path>
</svg>
"""
custom_css = """
@import url('https://fonts.googleapis.com/css2?family=Ubuntu:wght@300;400;500;700&display=swap');
/* Global styles */
.gradio-container {
background-color: #1a365d !important;
font-family: 'Ubuntu', -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Oxygen-Sans, Cantarell, "Helvetica Neue", sans-serif !important;
position: relative;
overflow: hidden;
}
/* Wave Background */
.wave-background {
position: fixed;
bottom: 0;
left: 0;
width: 100%;
height: 100%;
z-index: 0;
pointer-events: none;
}
/* Header styling */
.header-container {
text-align: center;
padding: 2rem 0;
margin-bottom: 1rem;
border-bottom: 2px solid rgba(255, 255, 255, 0.1);
position: relative;
z-index: 1;
}
.header-title {
color: #ffffff;
font-size: 2.5rem;
margin-bottom: 0.5rem;
font-family: 'Ubuntu', sans-serif !important;
text-shadow: 0 2px 4px rgba(0,0,0,0.2);
}
.header-subtitle {
color: #e6f3ff;
font-size: 1.1rem;
margin-bottom: 0.3rem;
font-family: 'Ubuntu', sans-serif !important;
opacity: 0.9;
}
/* Maritime icons styling */
.maritime-icons {
display: flex;
justify-content: center;
margin: 1rem 0;
gap: 2rem;
}
.maritime-icon {
width: 40px;
height: 40px;
transition: transform 0.3s ease;
}
.maritime-icon:hover {
transform: scale(1.1);
}
/* Sidebar styling */
.sidebar {
background: #ccd9e6 !important;
border-radius: 8px !important;
padding: 15px !important;
border: 1px solid rgba(176, 226, 255, 0.2) !important;
height: fit-content !important;
position: relative;
overflow: hidden;
}
.sidebar-bg {
position: absolute;
top: 0;
right: 0;
bottom: 0;
left: 0;
opacity: 0.05;
pointer-events: none;
z-index: 0;
}
.sidebar-content {
position: relative;
z-index: 1;
}
.sidebar-icon {
width: 24px;
height: 24px;
margin-right: 8px;
vertical-align: middle;
}
.sidebar-title {
color: #1a365d !important;
font-size: 1.1rem !important;
margin-bottom: 0.8rem !important;
padding-bottom: 0.4rem !important;
border-bottom: 2px solid rgba(26, 54, 93, 0.2) !important;
font-family: 'Ubuntu', sans-serif !important;
display: flex;
align-items: center;
}
.example-query-button {
background-color: #b3c6d9 !important;
color: #1a365d !important;
border: none !important;
margin: 3px 0 !important;
padding: 6px 10px !important;
border-radius: 4px !important;
text-align: left !important;
width: 100% !important;
cursor: pointer !important;
transition: background-color 0.3s ease !important;
font-size: 0.9rem !important;
font-family: 'Ubuntu', sans-serif !important;
position: relative;
padding-left: 30px !important;
}
.example-query-button::before {
content: "⚓";
position: absolute;
left: 8px;
top: 50%;
transform: translateY(-50%);
font-size: 12px;
opacity: 0.7;
}
.example-query-button:hover {
background-color: #99b3cc !important;
}
/* Chat container */
.chat-container {
background: #ccd9e6 !important;
border-radius: 8px !important;
padding: 15px !important;
height: 300px !important;
overflow-y: auto !important;
border: 1px solid rgba(176, 226, 255, 0.2) !important;
backdrop-filter: blur(10px) !important;
font-family: 'Ubuntu', sans-serif !important;
}
/* Message styling */
.message.user, .message.bot {
padding: 8px 12px !important;
margin: 6px 0 !important;
border-radius: 6px !important;
color: #1a365d !important;
font-size: 0.9rem !important;
font-family: 'Ubuntu', sans-serif !important;
line-height: 1.5 !important;
}
.message.user {
background-color: #b3c6d9 !important;
}
.message.bot {
background-color: #e6f3ff !important;
}
/* Input and button styling */
textarea {
background-color: #e6f3ff !important;
border: 1px solid rgba(176, 226, 255, 0.3) !important;
border-radius: 6px !important;
padding: 8px !important;
color: #1a365d !important;
font-size: 0.9rem !important;
font-family: 'Ubuntu', sans-serif !important;
}
.gr-button {
font-family: 'Ubuntu', sans-serif !important;
}
.maritime-images {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 1rem;
margin: 1.5rem auto;
max-width: 1200px;
padding: 0 1rem;
}
.maritime-image {
width: 100%;
height: 200px;
object-fit: cover;
border-radius: 8px;
border: 2px solid #e6f3ff;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
transition: transform 0.3s ease;
filter: contrast(110%) saturate(110%);
}
.maritime-image:hover {
transform: scale(1.02);
}
"""
# Main application
# Header with wave background and maritime icons
with gr.Blocks(css=custom_css, theme=gr.themes.Base()) as demo:
# Header with wave background and maritime icons
gr.HTML("""
<div class="header-container">
<h1 class="header-title">Maritime Legal Compliance</h1>
<p class="header-subtitle">AI-powered assistance for Indian maritime law queries</p>
<p class="header-subtitle">This chatbot uses Fine-tuned LLAMA-3.1 model personalised specifically to provide assistance with Indian maritime legal queries.</p>
</div>
""")
with gr.Row():
# Enhanced sidebar with graphics
with gr.Column(scale=1, elem_classes="sidebar"):
gr.HTML("""
<div class="sidebar-bg">
<svg viewBox="0 0 100 100" xmlns="http://www.w3.org/2000/svg" width="100%" height="100%">
<pattern id="grid" width="10" height="10" patternUnits="userSpaceOnUse">
<path d="M 10 0 L 0 0 0 10" fill="none" stroke="#1a365d" stroke-width="0.5"/>
</pattern>
<rect width="100%" height="100%" fill="url(#grid)"/>
<circle cx="80" cy="20" r="15" fill="#1a365d"/>
<path d="M70,80 L90,80 L80,95 Z" fill="#1a365d"/>
</svg>
</div>
<div class="sidebar-content">
""")
gr.HTML("""
<div class="sidebar-title">
<svg class="sidebar-icon" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg">
<circle cx="12" cy="12" r="10" fill="none" stroke="#1a365d" stroke-width="2"/>
<path d="M12 6 L12 18 M6 12 L18 12" stroke="#1a365d" stroke-width="2"/>
</svg>
Example Queries
</div>
""")
example_queries = [
"What are the key regulations governing ports in India?",
"What are the legal requirements for registering a vessel in India?",
"What are the recent environmental concerns for shipping in Indian waters?",
"What are the rules for coastal cargo transportation in India?"
]
with gr.Column(elem_classes="example-queries"):
example_buttons = [gr.Button(query, elem_classes="example-query-button") for query in example_queries]
gr.HTML("</div>") # Close sidebar-content
# Main chat area
# Main chat area
with gr.Column(scale=3):
chatbot = gr.Chatbot(
height=300,
elem_classes="chat-container",
type="messages"
)
msg = gr.Textbox(
show_label=False,
placeholder="Type your maritime law query here...",
container=False
)
with gr.Row():
submit = gr.Button("Send", variant="primary")
clear = gr.Button("Clear")
# Event handlers
msg.submit(fn=respond, inputs=[msg, chatbot], outputs=[chatbot, msg])
submit.click(fn=respond, inputs=[msg, chatbot], outputs=[chatbot, msg])
clear.click(fn=lambda: ([], ""), inputs=None, outputs=[chatbot, msg], queue=False)
for button in example_buttons:
button.click(
fn=handle_example_click,
inputs=[button],
outputs=[msg, chatbot],
queue=False
).then(
fn=respond,
inputs=[msg, chatbot],
outputs=[chatbot, msg]
)
if __name__ == "__main__":
demo.launch() |