Update app.py

app.py

@@ -1,36 +1,26 @@
 import gradio as gr
 from inference import get_evo_response, get_gpt_response
-from logger import log_feedback
-from utils import extract_text_from_file
 
-def advisor_interface(question, file, feedback_choice):
-    context = extract_text_from_file(file) if file else ""
-    
-    evo_answer = get_evo_response(question, context)
-    gpt_answer = get_gpt_response(question, context)
-
-    if feedback_choice != "No feedback":
-        log_feedback(question, context, evo_answer, feedback_choice)
-
-    return evo_answer, gpt_answer
+def advisor_interface(prompt, option1, option2):
+    evo_result = get_evo_response(prompt, option1, option2)
+    gpt_result = get_gpt_response(prompt, option1, option2)
+    return evo_result, gpt_result
 
 with gr.Blocks() as demo:
-    gr.Markdown("## 🧠 EvoRAG – Retrieval-Augmented Adaptive AI")
+    gr.Markdown("## 🧠 EvoRAG – Retrieval-Augmented Adaptive AI for Reasoning")
+    gr.Markdown("Ask a commonsense or financial reasoning question with two options. Evo and GPT-3.5 will both suggest the better one.")
 
     with gr.Row():
-        question = gr.Textbox(label="📝 Ask anything", placeholder="e.g. Should we diversify the portfolio?")
-
-    with gr.Row():
-        file = gr.File(label="📂 Upload memo (.pdf or .txt)", file_types=[".pdf", ".txt"], type="binary")
-
+        prompt = gr.Textbox(label="📝 Your Question", placeholder="e.g. Should we reduce exposure to Tech Fund A this quarter?")
     with gr.Row():
-        feedback = gr.Radio(["👍 Helpful", "👎 Not Helpful", "No feedback"], label="Was Evo’s answer useful?", value="No feedback")
+        option1 = gr.Textbox(label="🔹 Option 1", placeholder="Yes, reduce exposure this quarter.")
+        option2 = gr.Textbox(label="🔸 Option 2", placeholder="No, maintain current allocation.")
 
     with gr.Row():
-        evo_out = gr.Textbox(label="🔬 EvoRAG Suggestion")
-        gpt_out = gr.Textbox(label="🤖 GPT-3.5 Suggestion")
+        evo_output = gr.Textbox(label="🔬 EvoRAG Suggestion")
+        gpt_output = gr.Textbox(label="🤖 GPT-3.5 Suggestion")
 
-    submit_btn = gr.Button("Run Advisors")
-    submit_btn.click(fn=advisor_interface, inputs=[question, file, feedback], outputs=[evo_out, gpt_out])
+    run_btn = gr.Button("Run Advisors")
+    run_btn.click(fn=advisor_interface, inputs=[prompt, option1, option2], outputs=[evo_output, gpt_output])
 
 demo.launch()