added the project file

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/SummarizeAI_Pro.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/venv" />
+    </content>
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+  <component name="PyDocumentationSettings">
+    <option name="format" value="PLAIN" />
+    <option name="myDocStringFormat" value="Plain" />
+  </component>
+</module>

.idea/inspectionProfiles/Project_Default.xml

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+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredPackages">
+        <value>
+          <list size="1">
+            <item index="0" class="java.lang.String" itemvalue="accelerate" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.11 (SummarizeAI_Pro)" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.11 (SummarizeAI_Pro)" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/SummarizeAI_Pro.iml" filepath="$PROJECT_DIR$/.idea/SummarizeAI_Pro.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

app.py

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+import streamlit as st
+from peft import PeftModel
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+import torch
+
+
+@st.cache_resource
+def load_model():
+    """Load the PEFT model and tokenizer once and cache them"""
+    base_model = AutoModelForSeq2SeqLM.from_pretrained("t5-small")
+    peft_model = PeftModel.from_pretrained(base_model, "Lakshan2003/finetuned-xsum")
+    tokenizer = AutoTokenizer.from_pretrained("Lakshan2003/finetuned-xsum")
+    return peft_model, tokenizer
+
+
+def generate_summary(text, model, tokenizer, max_length=128, min_length=30):
+    """Generate summary using the PEFT model"""
+    # Move model to GPU if available
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+    model = model.to(device)
+
+    # Prepare the input text
+    prefix = "summarize: "
+    input_text = prefix + text
+
+    # Tokenize
+    inputs = tokenizer(input_text, return_tensors="pt", max_length=512, truncation=True)
+    inputs = {k: v.to(device) for k, v in inputs.items()}
+
+    # Generate summary
+    with torch.no_grad():
+        output_ids = model.generate(
+            input_ids=inputs["input_ids"],
+            attention_mask=inputs["attention_mask"],
+            max_length=max_length,
+            min_length=min_length,
+            num_beams=4,
+            length_penalty=2.0,
+            early_stopping=True,
+            no_repeat_ngram_size=3
+        )
+
+    # Decode the summary
+    summary = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+    return summary
+
+
+def main():
+    st.set_page_config(
+        page_title="SummarizeAI Pro",
+        page_icon="✨",
+        layout="wide"
+    )
+
+    # Custom CSS
+    st.markdown("""
+        <style>
+        .main-title {
+            text-align: center;
+            color: #1E88E5;
+            font-size: 3rem !important;
+            font-weight: 700;
+            margin-bottom: 1rem;
+        }
+        .subtitle {
+            text-align: center;
+            color: #424242;
+            font-size: 1.2rem !important;
+            margin-bottom: 2rem;
+        }
+        </style>
+    """, unsafe_allow_html=True)
+
+    # App title and subtitle
+    st.markdown("<h1 class='main-title'>✨ SummarizeAI Pro</h1>", unsafe_allow_html=True)
+    st.markdown("<p class='subtitle'>Transform lengthy text into concise, meaningful summaries with AI</p>",
+                unsafe_allow_html=True)
+
+    # Load model and tokenizer
+    with st.spinner("Loading model... (this may take a few moments)"):
+        model, tokenizer = load_model()
+
+    # Input text area
+    text = st.text_area(
+        "📝 Enter your text below:",
+        height=200,
+        placeholder="Paste your text here and let SummarizeAI Pro work its magic..."
+    )
+
+    # Create three columns for better layout
+    col1, col2, col3 = st.columns([1, 1, 1])
+
+    with col1:
+        max_length = st.slider("Maximum summary length", 50, 250, 128)
+    with col2:
+        min_length = st.slider("Minimum summary length", 10, 100, 30)
+    with col3:
+        st.markdown("<br>", unsafe_allow_html=True)  # Spacing
+        generate_button = st.button("✨ Generate Summary", use_container_width=True)
+
+    if generate_button:
+        if text:
+            with st.spinner("✨ AI is crafting your summary..."):
+                try:
+                    summary = generate_summary(text, model, tokenizer,
+                                               max_length=max_length,
+                                               min_length=min_length)
+
+                    st.markdown("### 📊 Summary Results")
+
+                    # Create columns for statistics
+                    stat_col1, stat_col2 = st.columns(2)
+                    with stat_col1:
+                        st.info(f"📄 Original text: {len(text.split())} words")
+                    with stat_col2:
+                        st.info(f"✂️ Summarized text: {len(summary.split())} words")
+
+                    # Display summary in a nice box
+                    st.markdown("### ✨ Generated Summary")
+                    st.markdown(f"""
+                        <div style="
+                            padding: 20px;
+                            border-radius: 10px;
+                            background-color: #f0f2f6;
+                            border-left: 5px solid #1E88E5;
+                        ">
+                            {summary}
+                        </div>
+                    """, unsafe_allow_html=True)
+
+                except Exception as e:
+                    st.error(f"🚫 An error occurred: {str(e)}")
+        else:
+            st.warning("⚠️ Please enter some text to summarize.")
+
+    # Sidebar with enhanced styling
+    st.sidebar.markdown("## 🎯 About SummarizeAI Pro")
+    st.sidebar.markdown("""
+        SummarizeAI Pro uses advanced AI technology powered by a PEFT-tuned T5 model 
+        to generate accurate and concise summaries while preserving the key points 
+        of your text.
+    """)
+
+    st.sidebar.markdown("## 📖 How to Use")
+    st.sidebar.markdown("""
+        1. 📝 Paste your text in the input box
+        2. 🎚️ Adjust summary length with sliders
+        3. 🚀 Click 'Generate Summary'
+        4. ✨ Get your AI-powered summary
+    """)
+
+    # Footer
+    st.markdown("""
+        <div style='text-align: center; color: #666; padding: 20px;'>
+            <p>Made with ❤️ by SummarizeAI Pro Team</p>
+        </div>
+    """, unsafe_allow_html=True)
+
+
+if __name__ == "__main__":
+    main()