Update app.py

app.py

@@ -1,5 +1,6 @@
 import pandas as pd
 import re
+import json
 from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
 import gradio as gr
 
@@ -183,28 +184,28 @@ def process_text(input_text):
     # محاسبه و نمایش میانگین نمرات
     average_score = (job_score + education_score + skill_score + loc_score + age_score) / 5
     
-    # ساخت خروجی به صورت متن
-    output = f"""
-    average_score: {average_score}
-    full_name: {full_name}
-    age: {age}
-    location: {loc}
-    job_score: {job_score}
-    education_score: {education_score}
-    skill_score: {skill_score}
-    loc_score: {loc_score}
-    age_score: {age_score}
-    common_jobs: {list(common_jobs)}
-    common_education: {list(common_education)}
-    common_skills: {list(common_skills)}
-    """
-    
-    return output
+    # ساخت خروجی JSON
+    output = {
+        "average_score": average_score,
+        "full_name": full_name,
+        "age": age,
+        "location": loc,
+        "job_score": job_score,
+        "education_score": education_score,
+        "skill_score": skill_score,
+        "loc_score": loc_score,
+        "age_score": age_score,
+        "common_jobs": list(common_jobs),
+        "common_education": list(common_education),
+        "common_skills": list(common_skills)
+    }
+
+    return json.dumps(output, ensure_ascii=False, indent=4)
 
 iface = gr.Interface(
     fn=process_text,
     inputs=gr.Textbox(lines=10, placeholder="لطفاً متن خود را وارد کنید..."),
-    outputs="text",
+    outputs="json",
     title="متن پرداز",
     description="این ابزار متن شما را پردازش کرده و امتیازات مشابهت را محاسبه می‌کند."
 )