Upload app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+st.set_page_config(page_title="Smart Text Summarizer", layout="centered")
+st.markdown(
+    """
+    <style>
+        .main {
+            background-color: #f7f9fc;
+        }
+        .block-container {
+            padding-top: 2rem;
+            padding-bottom: 2rem;
+        }
+        .stButton>button {
+            color: white;
+            font-weight: bold;
+            border-radius: 0.5rem;
+            padding: 0.6rem 1.2rem;
+        }
+        .stTextArea textarea {
+            border-radius: 0.5rem;
+            padding: 1rem;
+        }
+    </style>
+    """,
+    unsafe_allow_html=True
+)
+
+# Centered title and subtitle
+st.markdown(
+    """
+    <h1 style='text-align: center; font-weight: 700; margin-bottom: 0.5rem;'>
+        Smart Text Summarizer 🧠
+    </h1>
+    <p style='text-align: center; color: #555; font-size: 18px; margin-top: 0;'>
+        Generate concise and clear summaries with fine-tuned T5 models
+    </p>
+    """,
+    unsafe_allow_html=True
+)
+
+# Model selection keys (simple)
+model_options = {
+    "T5-Small": "NeonSamurai/summarization_t5_small_v2",
+    "T5-Base": "NeonSamurai/summarization_cnndaily_t5_base"
+}
+
+model_choice_key = st.selectbox("Choose a model:", list(model_options.keys()))
+model_name = model_options[model_choice_key]
+
+@st.cache_resource
+def load_pipeline(model_name):
+    return pipeline(
+        "text2text-generation",
+        model=model_name,
+        tokenizer=model_name,
+        max_length=256,   # fixed max length
+        min_length=60,
+        truncation=True,
+        do_sample=False
+    )
+
+summarizer = load_pipeline(model_name)
+
+st.subheader("📄 Enter the text to summarize:")
+input_text = st.text_area("", height=300, placeholder="Paste or type your text here...")
+
+if st.button("✨ Generate Summary"):
+    if not input_text.strip():
+        st.warning("Please enter some text before summarizing.")
+    else:
+        with st.spinner("Summarizing..."):
+            result = summarizer("summarize: " + input_text)
+            summary = result[0]["generated_text"]
+
+        st.subheader("🧾 Summary Result")
+        st.success(summary.strip())
+
+# Background-Image
+st.markdown(
+    """
+    <style>
+        .stApp {
+            background-image: url("https://cdn-uploads.huggingface.co/production/uploads/673f5e166c2774fcc8a82f0b/tjZJvZGkJMLKhorQFfHML.png");
+            background-size: cover;
+            background-position: center;
+            height: 100vh;
+        }
+        
+        /* Semi-transparent overlay */
+        .stApp::before {
+            content: "";
+            position: absolute;
+            top: 0;
+            left: 0;
+            width: 100%;
+            height: 100%;
+            background: rgba(0, 0, 0, 0.4);  /* 40% transparency */
+            z-index: -1;
+        }
+    </style>
+    """, 
+    unsafe_allow_html=True
+)