Delete app.py

app.py

@@ -1,187 +0,0 @@
-import gradio as gr
-import pdfplumber
-from openai import OpenAI
-import os
-
-client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
-
-
-LANGUAGES = ["English", "Turkish", "Arabic", "French", "German", "Spanish"]
-
-TRANSLATIONS = {
-    "English": {
-        "summary_lang": "🗣️ Summary Language",
-        "char_limit": "🔢 Character Limit (approximate)",
-        "text_input": "📥 Paste Text Here",
-        "text_placeholder": "Or paste a document here...",
-        "pdf_upload": "📄 Or Upload a PDF File",
-        "output": "🧠 Output (Summary, Title, Keywords)",
-        "run_button": "Summarize"
-    },
-    "Turkish": {
-        "summary_lang": "🗣️ Özetleme Dili",
-        "char_limit": "🔢 Karakter Sınırı (yaklaşık)",
-        "text_input": "📥 Metni Buraya Yapıştırın",
-        "text_placeholder": "Ya da bir belge yapıştırın...",
-        "pdf_upload": "📄 Ya da bir PDF Yükleyin",
-        "output": "🧠 Çıktı (Özet, Başlık, Anahtar Kelimeler)",
-        "run_button": "Özetle"
-    },
-    "French": {
-        "summary_lang": "🗣️ Langue du Résumé",
-        "char_limit": "🔢 Limite de caractères (approximative)",
-        "text_input": "📥 Collez le texte ici",
-        "text_placeholder": "Ou collez un document ici...",
-        "pdf_upload": "📄 Ou téléchargez un fichier PDF",
-        "output": "🧠 Résultat (Résumé, Titre, Mots-clés)",
-        "run_button": "Résumer"
-    },
-    "German": {
-        "summary_lang": "🗣️ Zusammenfassungs-Sprache",
-        "char_limit": "🔢 Zeichenbegrenzung (ungefähr)",
-        "text_input": "📥 Text hier einfügen",
-        "text_placeholder": "Oder fügen Sie hier ein Dokument ein...",
-        "pdf_upload": "📄 Oder laden Sie eine PDF-Datei hoch",
-        "output": "🧠 Ausgabe (Zusammenfassung, Titel, Schlüsselwörter)",
-        "run_button": "Zusammenfassen"
-    },
-    "Spanish": {
-        "summary_lang": "🗣️ Idioma del Resumen",
-        "char_limit": "🔢 Límite de caracteres (aproximado)",
-        "text_input": "📥 Pega el texto aquí",
-        "text_placeholder": "O pega un documento aquí...",
-        "pdf_upload": "📄 O sube un archivo PDF",
-        "output": "🧠 Resultado (Resumen, Título, Palabras clave)",
-        "run_button": "Resumir"
-    },
-    "Arabic": {
-        "summary_lang": "🗣️ لغة الملخص",
-        "char_limit": "🔢 الحد التقريبي لعدد الأحرف",
-        "text_input": "📥 الصق النص هنا",
-        "text_placeholder": "أو الصق مستندًا هنا...",
-        "pdf_upload": "📄 أو قم بتحميل ملف PDF",
-        "output": "🧠 النتيجة (الملخص، العنوان، الكلمات المفتاحية)",
-        "run_button": "تلخيص"
-    }
-}
-
-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. It might be an image-based PDF or encoded improperly."
-        return text.strip(), None
-    except Exception as e:
-        return None, f"PDF reading error: {str(e)}"
-
-def translate_text(text, target_lang):
-    try:
-        prompt = f"Translate the following text to {target_lang}:\n\n{text}"
-        response = client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "system", "content": "You are a helpful translator."},
-                {"role": "user", "content": prompt}
-            ],
-            temperature=0.3,
-            max_tokens=3000
-        )
-        return response.choices[0].message.content
-    except Exception:
-        return text
-
-def analyze_text(text, summary_lang, char_limit):
-    translated_text = translate_text(text, summary_lang)
-    prompt = f"""You are a helpful assistant.
-
-Please provide the following in {summary_lang}:
-1. A clear and concise summary (limited to approximately {char_limit} characters).
-2. A suitable title.
-3. 5 relevant keywords.
-
-Document:
-{translated_text[:3000]}"""
-    try:
-        response = client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "system", "content": "You are a helpful assistant."},
-                {"role": "user", "content": prompt}
-            ],
-            temperature=0.7,
-            max_tokens=400
-        )
-        return response.choices[0].message.content
-    except Exception as e:
-        return f"❌ OpenAI Error: {str(e)}"
-
-def analyze_input(summary_lang, char_limit, text_input, pdf_file):
-    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"⚠️ PDF Error: {error}"
-    if not text:
-        return "⚠️ No text provided or extracted."
-
-    return analyze_text(text, summary_lang, char_limit)
-
-def interface_selector(interface_lang):
-    t = TRANSLATIONS.get(interface_lang, TRANSLATIONS["English"])
-    return (
-        gr.update(visible=True),
-        gr.update(label=t["summary_lang"]),
-        gr.update(label=t["char_limit"]),
-        gr.update(label=t["text_input"], placeholder=t["text_placeholder"]),
-        gr.update(label=t["pdf_upload"]),
-        gr.update(label=t["output"]),
-        gr.update(value=t["run_button"])
-    )
-
-with gr.Blocks() as demo:
-    gr.Markdown("## 🌐 Select Interface Language")
-    with gr.Accordion("📘 View README / Usage Guide", open=False):
-    gr.Markdown("""
-This application allows you to upload a PDF or paste text, select your preferred summary language, and receive:
-
-- A clear summary ✂️  
-- An auto-generated title 🏷️  
-- 5 relevant keywords 🔑  
-
-If the content language and summary language differ, the app will auto-translate before summarizing 🌐  
-
-Powered by OpenAI GPT-3.5 and Gradio.
-    """)  
-    lang_select = gr.Dropdown(label="Interface Language", choices=LANGUAGES, value="English")
-    next_btn = gr.Button("Continue")
-
-    with gr.Column(visible=False) as summary_section:
-        summary_lang = gr.Dropdown(choices=LANGUAGES, value="English")
-        char_limit = gr.Textbox(value="300")
-        text_input = gr.Textbox(lines=10)
-        pdf_file = gr.File()
-        output = gr.Textbox()
-        run_btn = gr.Button()
-
-    next_btn.click(fn=interface_selector, inputs=[lang_select], outputs=[
-        summary_section,
-        summary_lang,
-        char_limit,
-        text_input,
-        pdf_file,
-        output,
-        run_btn
-    ])
-
-    run_btn.click(fn=analyze_input, inputs=[summary_lang, char_limit, text_input, pdf_file], outputs=output)
-
-demo.launch()