Update app.py

app.py

@@ -1,40 +1,36 @@
 import gradio as gr
-from transformers import AutoTokenizer
-from inference import load_model, predict
-
-# Load tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
-model, device = load_model("evo_hellaswag.pt")
-
-# Interface logic
-def evo_decision(prompt, option1, option2):
-    result = predict(model, tokenizer, prompt, option1, option2, device)
-    choice = option1 if result["choice"] == 0 else option2
-    score_0 = round(result["scores"][0] * 100, 2)
-    score_1 = round(result["scores"][1] * 100, 2)
-    return (
-        f"✅ Evo Suggests: **{choice}**\n\n"
-        f"🧠 Confidence Scores:\n"
-        f"- Option 1: {score_0}%\n"
-        f"- Option 2: {score_1}%"
-    )
-
-# UI
-with gr.Blocks() as demo:
-    gr.Markdown("# 🧬 EvoTransformer – Reasoning API\nAsk Evo a question with 2 choices.")
+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
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🧠 EvoRAG – Retrieval-Augmented Adaptive AI")
+
     with gr.Row():
-        prompt = gr.Textbox(label="🧠 Scenario or Question", placeholder="e.g. You spilled juice on the floor.")
+        question = gr.Textbox(label="📝 Ask anything", placeholder="e.g. Should we diversify the portfolio?")
+
     with gr.Row():
-        option1 = gr.Textbox(label="Option 1", placeholder="Wipe it with a cloth.")
-        option2 = gr.Textbox(label="Option 2", placeholder="Ignore and walk away.")
-    
+        file = gr.File(label="📂 Upload memo (.pdf or .txt)", file_types=[".pdf", ".txt"], type="binary")
+
     with gr.Row():
-        output = gr.Markdown()
-    
+        feedback = gr.Radio(["👍 Helpful", "👎 Not Helpful", "No feedback"], label="Was Evo’s answer useful?", value="No feedback")
+
     with gr.Row():
-        btn = gr.Button("Ask Evo")
-        btn.click(fn=evo_decision, inputs=[prompt, option1, option2], outputs=[output])
+        evo_out = gr.Textbox(label="🔬 EvoRAG Suggestion")
+        gpt_out = 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])
 
-# Launch app
 demo.launch()