import gradio as gr
import requests
import os

GROQ_API_KEY = "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"
HEADERS = {"Authorization": f"Bearer {GROQ_API_KEY}"}


suggested_questions = [
    "How is my TFSA performing?",
    "What are some good stock picks?",
    "Compare investment strategies.",
    "Analyze stock volatility."
]

def ask_groq(query, language="English"):
    api_url = "https://api.groq.com/v1/chat/completions"
    payload = {
        "model": "groq-llm",  # Replace with actual Groq model name
        "messages": [{"role": "user", "content": query}],
        "max_tokens": 200,
        "temperature": 0.7
    }
    
    response = requests.post(api_url, headers=HEADERS, json=payload)
    if response.status_code == 200:
        reply = response.json().get("choices", [{}])[0].get("message", {}).get("content", "No response.")
        return f"{reply}\n\n(Language: {language})"
    else:
        return "Error: Could not retrieve response."

def chatbot(user_input, language="English"):
    if user_input in suggested_questions:
        return ask_groq(user_input, language)
    return ask_groq(user_input, language)

with gr.Blocks() as demo:
    gr.Markdown("# TFSA Investment Chatbot 💰")
    
    language = gr.Radio(["English", "Français"], label="Select Language", value="English")
    
    with gr.Row():
        input_text = gr.Textbox(label="Ask a question", placeholder="Type your question here...")
        submit_btn = gr.Button("Ask")
    
    response_output = gr.Textbox(label="Response", interactive=False)
    
    gr.Markdown("### Suggested Questions:")
    btns = [gr.Button(q) for q in suggested_questions]

    # Event Listeners
    submit_btn.click(fn=chatbot, inputs=[input_text, language], outputs=response_output)
    
    for btn in btns:
        btn.click(fn=chatbot, inputs=[btn, language], outputs=response_output)


if __name__ == "__main__":
    demo.launch()