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import uuid
import os
from groq import Groq
import gradio as gr
from gtts import gTTS
client = Groq(api_key=os.getenv("GROQ_API_KEY"))
def get_chatbot_response(user_message, country, language, conversation_history):
system_message = (
f"You are a lawyer specializing in providing concise and accurate legal information based on the laws in {country}. "
f"Respond in {language}. Provide clear, factual information without offering personal legal advice or opinions. "
"Include relevant legal references, statutes, or case law when possible."
)
if conversation_history:
if conversation_history[0]["role"] == "system":
conversation_history[0]["content"] = system_message
else:
conversation_history.insert(0, {"role": "system", "content": system_message})
else:
conversation_history.append({"role": "system", "content": system_message})
conversation_history.append({"role": "user", "content": user_message})
completion = client.chat.completions.create(
model="deepseek-r1-distill-llama-70b",
messages=conversation_history,
temperature=0.3,
top_p=0.95,
stream=True,
reasoning_format="hidden"
)
response = ""
for chunk in completion:
response += chunk.choices[0].delta.content or ""
conversation_history.append({"role": "assistant", "content": response})
chat_display = [
(msg["content"], conversation_history[i + 1]["content"])
for i, msg in enumerate(conversation_history[:-1]) if msg["role"] == "user"
]
return conversation_history, chat_display
def text_to_audio(conversation_history, language):
lang_map = {
"English": "en",
"Spanish": "es",
"French": "fr",
"German": "de",
"Hindi": "hi",
"Mandarin": "zh-cn",
"Arabic": "ar"
}
lang_code = lang_map.get(language, "en")
conversation_text = ""
for msg in conversation_history:
if msg["role"] == "user":
conversation_text += f"You said: {msg['content']}\n"
elif msg["role"] == "assistant":
conversation_text += f"AI Legal Chatbot responded with: {msg['content']}\n"
if not conversation_text.strip():
return None
tts = gTTS(text=conversation_text, lang=lang_code)
audio_filename = f"response_{uuid.uuid4().hex}.mp3"
tts.save(audio_filename)
return audio_filename
theme = gr.themes.Ocean(
text_size="lg",
font=[gr.themes.GoogleFont('DM Sans'), 'ui-sans-serif', 'system-ui', 'sans-serif'],
).set(
body_text_size='*text_md',
background_fill_secondary='*secondary_100',
chatbot_text_size='*text_md',
input_radius='*radius_md',
input_text_size='*text_md',
)
custom_css = """
.title-text {
background: #00A0B0;
-webkit-background-clip: text;
background-clip: text;
color: transparent;
-webkit-text-fill-color: transparent;
display: inline-block;
width: fit-content;
font-weight: bold;
text-align: center;
font-size: 45px;
}
.law-button {
border: 1px solid #00A0B0;
background-color: transparent;
font-size: 15px;
padding: 5px 15px;
border-radius: 16px;
margin: 0 5px;
}
.law-button:hover {
background: linear-gradient(90deg, #00A0B0, #00FFEF) !important;
color: white !important;
}
.country-language-container .gr-dropdown {
font-size: 10px;
max-height: 100px;
}
"""
def clear_history():
return []
with gr.Blocks(theme=theme, css=custom_css) as demo:
gr.HTML("<h2 class='title-text'>βοΈ AI Legal Chatbot</h2>")
gr.Markdown("### Hey there! Pick your country, choose a language, and tell us about your legal situation. We're here to help!")
with gr.Row(elem_classes="country-language-container"):
country_input = gr.Dropdown(
["Canada", "United States", "United Kingdom", "Spain", "France", "Germany", "India", "China", "Lebanon", "Other"],
label="π Country to Apply Legal Jurisdiction",
interactive=True
)
language_input = gr.Dropdown(
["English", "Spanish", "French", "German", "Hindi", "Mandarin", "Arabic"],
label="π£οΈ Language Output",
interactive=True
)
custom_country_input = gr.Textbox(label="Enter Country (if not listed)", visible=False)
conversation_state = gr.State([])
law_state = gr.State("")
chatbot = gr.Chatbot(label="π¬ Chat History", min_height="500px")
chatbot.clear(fn=clear_history, outputs=conversation_state)
with gr.Row():
family_btn = gr.Button("π¨βπ©βπ§βπ¦ Family", elem_classes="law-button")
corporate_btn = gr.Button("π’ Corporate", elem_classes="law-button")
health_btn = gr.Button("π₯ Health", elem_classes="law-button")
military_btn = gr.Button("ποΈ Military", elem_classes="law-button")
immigration_btn = gr.Button("π Immigration", elem_classes="law-button")
criminal_btn = gr.Button("π Criminal", elem_classes="law-button")
property_btn = gr.Button("π Property", elem_classes="law-button")
environmental_btn = gr.Button("π± Environmental", elem_classes="law-button")
with gr.Row(equal_height=True):
scenario_input = gr.Textbox(
label="π‘ Type your message...",
placeholder="Describe your legal situation...",
interactive=True,
)
submit_btn = gr.Button("Send", variant="primary", scale=0)
def update_law_selection(current, new_selection):
if "Law: " in current:
parts = current.split("Law: ", 1)
additional_text = parts[1] if len(parts) > 1 else ""
else:
additional_text = current
return f"{new_selection} Law: {additional_text}"
for btn, law in zip(
[family_btn, corporate_btn, health_btn, military_btn, immigration_btn, criminal_btn, property_btn, environmental_btn],
["Family", "Corporate", "Health", "Military", "Immigration", "Criminal", "Property", "Environmental"]
):
btn.click(lambda current, law=law: update_law_selection(current, law), inputs=scenario_input, outputs=scenario_input)
def submit(country, custom_country, language, scenario, conversation_state):
selected_country = custom_country if country == "Other" else country
updated_history, chat_display = get_chatbot_response(
scenario, selected_country, language, conversation_state
)
return updated_history, chat_display, ""
country_input.change(lambda c: gr.update(visible=c == "Other"), inputs=country_input, outputs=custom_country_input)
submit_btn.click(
submit,
inputs=[country_input, custom_country_input, language_input, scenario_input, conversation_state],
outputs=[conversation_state, chatbot, scenario_input]
)
scenario_input.submit(
fn=submit,
inputs=[country_input, custom_country_input, language_input, scenario_input, conversation_state],
outputs=[conversation_state, chatbot, scenario_input]
)
gr.HTML("<br><br>")
gr.Markdown("### Audio Output\nClick the **Read Conversation** button to have the entire conversation read aloud for you.")
read_conversation_btn = gr.Button("π Read Conversation", variant="primary")
response_audio_output = gr.Audio(label="Conversation Audio")
read_conversation_btn.click(
fn=text_to_audio,
inputs=[conversation_state, language_input],
outputs=response_audio_output
)
demo.launch()
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