Upload app.py

app.py

@@ -1,4 +1,3 @@
-
 import os
 import gradio as gr
 import pdfplumber
@@ -19,49 +18,22 @@ LANGUAGE_CODES = {
     "Arabic": "ar"
 }
 
+QUIZ_TITLES = {
+    "English": "### 📘 Quiz Questions:",
+    "Turkish": "### 📘 Test Soruları:",
+    "French": "### 📘 Questions à Choix Multiples :",
+    "German": "### 📘 Quizfragen:",
+    "Spanish": "### 📘 Preguntas del cuestionario:",
+    "Arabic": "### 📘 أسئلة الاختيار من متعدد:"
+}
+
 PROMPT_TEMPLATES = {
-    "English": """
-Please summarize the following text in a {style} style and keep it within approximately {char_limit} characters.
-Then provide 5 relevant keywords.
-
-TEXT:
-{text}
-""",
-    "Turkish": """
-Lütfen aşağıdaki metni {style} tarzında ve yaklaşık {char_limit} karakter olacak şekilde özetle.
-Ardından 5 anahtar kelime ver.
-
-METİN:
-{text}
-""",
-    "French": """
-Veuillez résumer le texte suivant dans un style {style}, en environ {char_limit} caractères.
-Fournissez ensuite 5 mots-clés pertinents.
-
-TEXTE :
-{text}
-""",
-    "German": """
-Fassen Sie den folgenden Text im {style}-Stil mit etwa {char_limit} Zeichen zusammen.
-Geben Sie anschließend 5 relevante Schlüsselwörter an.
-
-TEXT:
-{text}
-""",
-    "Spanish": """
-Resume el siguiente texto en un estilo {style} y con un límite de aproximadamente {char_limit} caracteres.
-Luego proporciona 5 palabras clave relevantes.
-
-TEXTO:
-{text}
-""",
-    "Arabic": """
-الرجاء تلخيص النص التالي بأسلوب {style}، على ألا يتجاوز {char_limit} حرفًا.
-ثم قدم 5 كلمات مفتاحية مهمة.
-
-النص:
-{text}
-"""
+    "English": "Please summarize the following text in a {style} style and keep it within approximately {char_limit} characters.\nThen provide 5 relevant keywords.\n\nTEXT:\n{text}",
+    "Turkish": "Lütfen aşağıdaki metni {style} tarzında ve yaklaşık {char_limit} karakter olacak şekilde özetle.\nArdından 5 anahtar kelime ver.\n\nMETİN:\n{text}",
+    "French": "Veuillez résumer le texte suivant dans un style {style}, en environ {char_limit} caractères.\nFournissez ensuite 5 mots-clés pertinents.\n\nTEXTE :\n{text}",
+    "German": "Fassen Sie den folgenden Text im {style}-Stil mit etwa {char_limit} Zeichen zusammen.\nGeben Sie anschließend 5 relevante Schlüsselwörter an.\n\nTEXT:\n{text}",
+    "Spanish": "Resume el siguiente texto en un estilo {style} y con un límite de aproximadamente {char_limit} caracteres.\nLuego proporciona 5 palabras clave relevantes.\n\nTEXTO:\n{text}",
+    "Arabic": "الرجاء تلخيص النص التالي بأسلوب {style}، على ألا يتجاوز {char_limit} حرفًا.\nثم قدم 5 كلمات مفتاحية مهمة.\n\nالنص:\n{text}"
 }
 
 QUIZ_PROMPTS = {
@@ -70,7 +42,7 @@ QUIZ_PROMPTS = {
     "French": "Sur la base du texte ci-dessous, générez 2 questions à choix multiples (4 options A à D) :\n\n{text}",
     "German": "Erstelle basierend auf dem folgenden Text 2 Multiple-Choice-Fragen (mit jeweils 4 Optionen A–D):\n\n{text}",
     "Spanish": "Con base en el siguiente texto, genera 2 preguntas de opción múltiple (cada una con 4 opciones A–D):\n\n{text}",
-    "Arabic": "قم بإنشاء سؤالين اختيار من متعدد استنادًا إلى النص أدناه، مع أربعة خيارات لكل سؤال (A، B، C، D):\n\n{text}"
+    "Arabic": "قم بإنشاء سؤالين اختيار من متعدد استنادًا إلى النص أدناه، مع أربعة خيارات لكل سؤال (أ، ب، ج، د):\n\n{text}"
 }
 
 def extract_text_from_pdf(file):
@@ -81,98 +53,81 @@ def extract_text_from_pdf(file):
                 page_text = page.extract_text()
                 if page_text:
                     text += page_text + "\n"
-        if not text.strip():
-            return None, "The PDF appears to contain no extractable text."
-        return text.strip(), None
+        return text.strip() if text.strip() else None, None
     except Exception as e:
-        return None, f"PDF reading error: {str(e)}"
+        return None, str(e)
 
 def translate_text(text, target_lang):
-    translation_prompt = f"Translate the following text into {target_lang}:\n\n{text}"
-    try:
-        response = client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[{"role": "user", "content": translation_prompt}],
-            temperature=0.3,
-            max_tokens=1000
-        )
-        return response.choices[0].message.content
-    except Exception as e:
-        return f"Translation error: {str(e)}"
+    prompt = f"Translate the following text into {target_lang}:\n\n{text}"
+    response = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.3,
+        max_tokens=1000
+    )
+    return response.choices[0].message.content
+
+def replace_arabic_choices(quiz_text):
+    return quiz_text.replace("A)", "أ.").replace("B)", "ب.").replace("C)", "ج.").replace("D)", "د.")
 
 def generate_summary_and_keywords(text, summary_lang, style, char_limit):
-    prompt_template = PROMPT_TEMPLATES.get(summary_lang, PROMPT_TEMPLATES["English"])
-    prompt = prompt_template.format(style=style, char_limit=char_limit, text=text[:2000])
-    try:
-        response = client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[{"role": "user", "content": prompt}],
-            temperature=0.7,
-            max_tokens=700
-        )
-        return response.choices[0].message.content
-    except Exception as e:
-        return f"OpenAI error: {str(e)}"
+    template = PROMPT_TEMPLATES[summary_lang]
+    prompt = template.format(style=style, char_limit=char_limit, text=text[:2000])
+    response = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7,
+        max_tokens=700
+    )
+    return response.choices[0].message.content
 
 def generate_quiz(summary_text, summary_lang):
-    quiz_prompt = QUIZ_PROMPTS.get(summary_lang, QUIZ_PROMPTS["English"]).format(text=summary_text)
-    try:
-        response = client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[{"role": "user", "content": quiz_prompt}],
-            temperature=0.7,
-            max_tokens=500
-        )
-        return response.choices[0].message.content
-    except Exception as e:
-        return f"OpenAI quiz error: {str(e)}"
-
-def process_input(text_input, pdf_file, summary_lang, style, char_limit, quiz_check):
+    prompt = QUIZ_PROMPTS[summary_lang].format(text=summary_text)
+    response = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7,
+        max_tokens=500
+    )
+    result = response.choices[0].message.content
+    return replace_arabic_choices(result) if summary_lang == "Arabic" else result
+
+def process(text_input, pdf_file, summary_lang, style, char_limit, make_quiz):
     if not char_limit.isdigit():
         return "⚠️ Please enter a numeric character limit."
-    text = ""
-    error = None
-    if pdf_file:
-        text, error = extract_text_from_pdf(pdf_file)
-    elif text_input and text_input.strip():
-        text = text_input.strip()
-    if error:
-        return f"⚠️ {error}"
-    if not text:
-        return "⚠️ No text provided."
-
-    detected_lang = detect(text)
-    target_lang_code = LANGUAGE_CODES.get(summary_lang, "en")
-    if detected_lang != target_lang_code:
+
+    text, error = extract_text_from_pdf(pdf_file) if pdf_file else (text_input.strip(), None)
+    if error or not text:
+        return f"⚠️ Error: {error or 'No valid text provided.'}"
+
+    detected = detect(text)
+    if detected != LANGUAGE_CODES[summary_lang]:
         text = translate_text(text, summary_lang)
 
     summary = generate_summary_and_keywords(text, summary_lang, style, char_limit)
-    if quiz_check:
+    if make_quiz:
         quiz = generate_quiz(summary, summary_lang)
-        return summary + "\n\n### 📘 Quiz Questions:\n" + quiz
-    else:
-        return summary
+        return summary + "\n\n" + QUIZ_TITLES[summary_lang] + "\n" + quiz
+    return summary
 
 with gr.Blocks() as demo:
     gr.Markdown("## 🌍 Multilingual Summarizer + Quiz Generator")
+    with gr.Accordion("📘 View README / Usage Guide", open=False):
+        gr.Markdown("This app creates summaries and quizzes from PDFs or text, in multiple languages.")
 
     with gr.Row():
-        summary_lang = gr.Dropdown(choices=LANGUAGES, value="English", label="Summary Language")
-        summary_style = gr.Dropdown(choices=SUMMARY_STYLES, value="Academic", label="Summary Style")
+        summary_lang = gr.Dropdown(LANGUAGES, value="English", label="Summary Language")
+        summary_style = gr.Dropdown(SUMMARY_STYLES, value="Academic", label="Summary Style")
         char_limit = gr.Textbox(label="Character Limit", value="300")
 
-    quiz_check = gr.Checkbox(label="Generate Quiz Questions", value=True)
+    make_quiz = gr.Checkbox(label="Generate Quiz Questions", value=True)
 
     with gr.Row():
-        text_input = gr.Textbox(lines=8, placeholder="Paste your text here...", label="Text Input")
+        text_input = gr.Textbox(lines=6, label="Text Input")
         pdf_file = gr.File(label="Or Upload PDF")
 
-    output = gr.Textbox(label="Output", lines=18)
-
-    run_btn = gr.Button("Summarize")
-
-    run_btn.click(fn=process_input,
-                  inputs=[text_input, pdf_file, summary_lang, summary_style, char_limit, quiz_check],
-                  outputs=[output])
+    output = gr.Textbox(label="Output", lines=20)
+    btn = gr.Button("Summarize")
+    btn.click(process, [text_input, pdf_file, summary_lang, summary_style, char_limit, make_quiz], output)
 
-demo.launch()
+    demo.launch()