Upload app_twostep.py

app_twostep.py

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+
+import os
+import gradio as gr
+import pdfplumber
+from openai import OpenAI
+
+client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
+
+SUMMARY_STYLES = ["Child-Friendly", "Academic", "Tweet"]
+LANGUAGES = ["English", "Turkish", "French", "German", "Spanish"]
+
+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}
+"""
+}
+
+QUIZ_PROMPTS = {
+    "English": "Based on the text below, generate 2 multiple choice questions (each with 4 options A-D):\n\n{text}",
+    "Turkish": "Aşağıdaki metne dayanarak, 4 seçenekli (A, B, C, D) 2 adet çoktan seçmeli soru oluştur:\n\n{text}",
+    "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}"
+}
+
+def extract_text_from_pdf(file):
+    try:
+        with pdfplumber.open(file.name) as pdf:
+            text = ""
+            for page in pdf.pages:
+                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
+    except Exception as e:
+        return None, f"PDF reading error: {str(e)}"
+
+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)}"
+
+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):
+    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."
+
+    summary = generate_summary_and_keywords(text, summary_lang, style, char_limit)
+    if quiz_check:
+        quiz = generate_quiz(summary, summary_lang)
+        return summary + "\n\n📘 Quiz Questions:\n" + quiz
+    else:
+        return summary
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🧠 Two-Step Summarizer with Reliable Quiz Generator")
+
+    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")
+        char_limit = gr.Textbox(label="Character Limit", value="300")
+
+    quiz_check = 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")
+        pdf_file = gr.File(label="Or Upload PDF")
+
+    output = gr.Textbox(label="Output", lines=16)
+
+    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)
+
+demo.launch()