Delete ai

ai/app.py

@@ -1,35 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-import torch
-
-# Load summarizer
-device = 0 if torch.cuda.is_available() else -1
-summarizer = pipeline(
-    "summarization",
-    model="csebuetnlp/mT5_multilingual_XLSum",
-    tokenizer="csebuetnlp/mT5_multilingual_XLSum",
-    device=device
-)
-
-print("✅ Model loaded on:", "GPU" if device == 0 else "CPU")
-
-# Function for API and UI
-def summarize_text(text):
-    if not text.strip():
-        return "❌ Error: No text provided."
-    
-    max_len = 1000
-    clean_text = text.strip()[:max_len]
-    result = summarizer([clean_text], max_length=130, min_length=30, do_sample=False)
-    return result[0]["summary_text"]
-
-# Gradio Interface (UI + API)
-iface = gr.Interface(
-    fn=summarize_text,
-    inputs=gr.Textbox(lines=10, placeholder="Paste your news article here..."),
-    outputs="text",
-    title="Multilingual News Summarizer",
-    description="Summarizes news articles using mT5 multilingual XLSum model."
-)
-
-iface.launch()

ai/requirements.txt

@@ -1,4 +0,0 @@
-transformers
-sentencepiece
-gradio
-torch