File size: 1,931 Bytes
f8bc09f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | 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()
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