Create app.py

app.py

@@ -0,0 +1,59 @@
+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()