Update app.py

app.py

@@ -1,6 +1,5 @@
 import pandas as pd
 import re
-import json
 from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
 import gradio as gr
 
@@ -184,27 +183,27 @@ 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 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)
+    # 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
 
 iface = gr.Interface(
     fn=process_text,
-    inputs=gr.Textbox(lines=10, placeholder="لطفاً متن خود را وارد کنید..."),
+    inputs=gr.inputs.Textbox(lines=10, placeholder="لطفاً متن خود را وارد کنید..."),
     outputs="text",
     title="متن پرداز",
     description="این ابزار متن شما را پردازش کرده و امتیازات مشابهت را محاسبه می‌کند."