Update app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from inference import get_evo_response, get_gpt_response
+from logger import log_feedback
+
+def advisor_interface(query, context, feedback_choice):
+    evo_output = get_evo_response(query, context)
+    gpt_output = get_gpt_response(query, context)
+
+    if feedback_choice != "No feedback":
+        log_feedback(query, context, evo_output, feedback_choice)
+
+    return evo_output, gpt_output
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🧠 EvoAdvisor – Your Adaptive AI Copilot for Finance")
+
+    with gr.Row():
+        query = gr.Textbox(label="📝 Ask a financial question", placeholder="e.g. Should we exit this position?")
+        context = gr.Textbox(label="📂 Related memo or policy context", placeholder="Paste internal strategy or notes here...")
+
+    with gr.Row():
+        feedback = gr.Radio(["👍 Helpful", "👎 Not Helpful", "No feedback"], label="Was Evo’s answer useful?", value="No feedback")
+
+    with gr.Row():
+        evo_out = gr.Textbox(label="🔬 EvoAdvisor's Suggestion")
+        gpt_out = gr.Textbox(label="🤖 GPT-3.5's Suggestion")
+
+    submit_btn = gr.Button("Run Advisors")
+    submit_btn.click(fn=advisor_interface, inputs=[query, context, feedback], outputs=[evo_out, gpt_out])
+
+demo.launch()