Update app_utils.py

app_utils.py

@@ -3,6 +3,8 @@ from datetime import datetime
 from typing import Optional
 import os
 import uuid
+import re
+import json
 import subprocess
 from faster_whisper import WhisperModel
 from openai import OpenAI
@@ -71,12 +73,12 @@ def generate_feedback(transcript, language, goal="general improvement", focus_ar
     prompt = f"""
 You are a supportive communication coach helping a learner whose goal is: **{goal}**.
 
-Evaluate the user's current speech based on the following areas:
+First, return a JSON object of the scores (0–10) for each of the following categories:
 {focus_str}
 
-Give a score out of 10 and a short explanation for each area.
+Then, write a detailed but friendly explanation for each.
 
-Then provide:
+Finally, provide:
 - A summary of strengths and improvement areas.
 - One motivational line to end with.
 
@@ -95,6 +97,42 @@ Transcript:
     )
     return response.choices[0].message.content
 
+
+def parse_scores_from_feedback(feedback_text):
+    try:
+        # Match first valid-looking JSON block
+        json_match = re.search(r"\{.*?\}", feedback_text, re.DOTALL)
+        if json_match:
+            score_block = json.loads(json_match.group(0))
+            return {k.strip(): int(v) for k, v in score_block.items() if str(v).isdigit()}
+    except Exception as e:
+        print("Score parsing failed:", e)
+    return {}
+
+
+def generate_progress_summary(current_feedback, previous_feedback):
+    current_scores = parse_scores_from_feedback(current_feedback)
+    previous_scores = parse_scores_from_feedback(previous_feedback)
+
+    if not current_scores or not previous_scores:
+        return ""  # can't compare
+
+    summary_lines = []
+    for category in current_scores:
+        if category in previous_scores:
+            diff = current_scores[category] - previous_scores[category]
+            if diff > 0:
+                summary_lines.append(f"✅ **{category}** improved by **+{diff}**")
+            elif diff < 0:
+                summary_lines.append(f"⚠️ **{category}** decreased by **{diff}**")
+            else:
+                summary_lines.append(f"➖ **{category}** stayed the same")
+
+    if summary_lines:
+        return "\n\n**📈 Progress Tracker**\n" + "\n".join(summary_lines)
+    return ""
+
+
 # === GPT: Improved Response ===
 def generate_example_response(transcript, language):
     prompt = f"""Rewrite this speech to make it more polished, fluent, and confident.