Delete app.py

app.py

@@ -1,77 +0,0 @@
-# app.py
-
-from transformers import pipeline, MBart50Tokenizer, MBartForConditionalGeneration
-from langdetect import detect
-import gradio as gr
-
-# Summarization pipeline (English)
-summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
-
-# Translation model (MBart multilingual)
-model_name = "facebook/mbart-large-50-many-to-many-mmt"
-tokenizer = MBart50Tokenizer.from_pretrained(model_name)
-translator = MBartForConditionalGeneration.from_pretrained(model_name)
-
-# Supported languages mapping
-lang_map = {
-    "en": "en_XX",
-    "hi": "hi_IN",
-    "fr": "fr_XX",
-    "de": "de_DE",
-    "es": "es_XX",
-    "it": "it_IT",
-    "ta": "ta_IN",
-    "bn": "bn_IN",
-}
-
-def translate_text(text, src_lang, tgt_lang):
-    tokenizer.src_lang = src_lang
-    encoded = tokenizer(text, return_tensors="pt")
-    generated_tokens = translator.generate(**encoded, forced_bos_token_id=tokenizer.lang_code_to_id[tgt_lang])
-    return tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
-
-def summarize_multilingual(text):
-    if not text or len(text.strip()) == 0:
-        return "⚠️ Please enter some text to summarize."
-
-    # Detect language
-    try:
-        lang = detect(text)
-    except:
-        lang = "en"
-
-    if lang not in lang_map:
-        lang = "en"
-
-    src_lang = lang_map[lang]
-    tgt_lang = "en_XX"  # summarize in English first
-
-    # If input not English → translate to English
-    if src_lang != "en_XX":
-        text = translate_text(text, src_lang, tgt_lang)
-
-    # Summarize
-    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)[0]['summary_text']
-
-    # Translate summary back to original language
-    if src_lang != "en_XX":
-        summary = translate_text(summary, "en_XX", src_lang)
-
-    return f"🌐 Detected language: {lang}\n\n🧠 Summary:\n{summary}"
-
-# Gradio Interface
-demo = gr.Interface(
-    fn=summarize_multilingual,
-    inputs=gr.Textbox(lines=12, placeholder="Paste text in English, Hindi, French, etc..."),
-    outputs=gr.Textbox(label="🌍 Multilingual Summary"),
-    title="🌍 Multilingual Text Summarizer using Hugging Face 🤗",
-    description="Supports English, Hindi, French, German, Spanish, Tamil, Bengali, and more.",
-    examples=[
-        ["Artificial Intelligence is transforming industries across the world with automation and intelligent data insights."],
-        ["कृत्रिम बुद्धिमत्ता स्वचालन और डेटा अंतर्दृष्टि के माध्यम से उद्योगों को बदल रही है।"],
-        ["L'intelligence artificielle transforme les industries grâce à l'automatisation et à l'analyse des données."]
-    ]
-)
-
-if __name__ == "__main__":
-    demo.launch()