update: structure of folder

app.py

@@ -2,7 +2,7 @@ import streamlit as st
 from transformers import BertForSequenceClassification, BertTokenizerFast, pipeline
 
 # Load the BERT model and tokenizer
-model_path = "./"
+model_path = "./model/"
 model = BertForSequenceClassification.from_pretrained(model_path)
 tokenizer = BertTokenizerFast.from_pretrained(model_path)
 nlp = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
@@ -30,30 +30,73 @@ def get_emoji(label):
     else:
         return "🙂"
 
-# Streamlit app
-st.set_page_config(page_title="G-Bert: Emotion Analysis", page_icon="😊", layout="centered")
+# Streamlit app configuration
+st.set_page_config(
+    page_title="G-Bert: Emotion Analysis",
+    page_icon="😊",
+    layout="centered"
+)
 
-# Title
-st.title("G-Bert: Emotion Analysis")
+# Custom CSS for a modern UI
+st.markdown("""
+    <style>
+        body {
+            background: linear-gradient(to right, #6a11cb, #2575fc);
+            color: white;
+            font-family: 'Segoe UI', sans-serif;
+        }
+        .stButton button {
+            background-color: #2575fc;
+            color: white;
+            border-radius: 8px;
+            font-size: 16px;
+            font-weight: bold;
+        }
+        .stTextArea textarea {
+            background: #f5f5f5;
+            border-radius: 8px;
+        }
+        footer {
+            font-size: 14px;
+            text-align: center;
+        }
+        footer a {
+            color: #2575fc;
+            text-decoration: none;
+        }
+    </style>
+""", unsafe_allow_html=True)
+
+# Title and description
+st.title("🌟 G-Bert: Emotion Analysis")
+st.write("Analyze the emotion behind your text with **G-Bert**, powered by Hugging Face transformers.")
 
 # Text input
-st.write("Enter some text below, and G-Bert will analyze its emotion!")
-text = st.text_area("Input Text", height=200)
+st.write("Enter some text below, and G-Bert will analyze its emotion for you!")
+text = st.text_area("Input Text", height=150, placeholder="Type your text here...")
 
 # Analyze button
-if st.button("Analyze Emotion"):
+if st.button("✨ Analyze Emotion ✨"):
     if text.strip():
         label, score = analyze_sentiment(text)
         if label and score:
             emoji = get_emoji(label)
-            st.subheader(f"Emotion: {label}")
-            st.markdown(f"**Confidence Score:** {score:.2f}")
-            st.markdown(f"{emoji} **{label}**")
+            st.markdown(f"""
+                <h2 style="text-align:center;">{emoji} Emotion: {label} {emoji}</h2>
+                <p style="text-align:center; font-size:20px;">Confidence Score: <strong>{score:.2f}</strong></p>
+            """, unsafe_allow_html=True)
         else:
-            st.error("Something went wrong with the analysis.")
+            st.error("🚨 Something went wrong with the analysis.")
     else:
-        st.warning("Please enter some text to analyze.")
+        st.warning("⚠️ Please enter some text to analyze.")
 
-# Footer
+# Footer with authorship
 st.markdown("---")
-st.markdown("Built with ❤️ using Hugging Face and Streamlit")
+st.markdown("""
+    <footer>
+        Built with ❤️ by 
+        <a href="https://github.com/sumonta-saha" target="_blank">Sumonta Saha</a>, 
+        <a href="https://github.com/mridul-pk" target="_blank">Mridul</a>, and 
+        <a href="https://github.com/promi-mojumder" target="_blank">Promi Mojumder</a>.
+    </footer>
+""", unsafe_allow_html=True)