Update app.py

app.py

@@ -1,3 +1,90 @@
+# import streamlit as st
+# from transformers import pipeline
+# import re
+
+# # Load the model
+# classifier = pipeline("text-classification", model="Mpavan45/Telugu_Sentimental_Analysis")
+
+# # Label mapping and emojis
+# labels = ["neutral", "positive", "negative"]
+# emojis = {"positive": "🤗", "negative": "😔", "neutral": "😐"}
+
+# # Background and Title Styling
+# st.markdown("""
+#     <style>
+#     .stApp {
+#         background-image: url('https://cdn-uploads.huggingface.co/production/uploads/675fab3a2d0851e23d23cad3/_YKXYHCbjM44ubGwnAKeQ.jpeg');
+#         background-size: cover;
+#         background-position: center;
+#         background-repeat: no-repeat;
+#         background-attachment: fixed;
+#     }
+#     .radium-title {
+#         font-size: 40px;
+#         text-align: center;
+#         color: #fff;
+#         padding: 10px;
+#         border-radius: 10px;
+#         background: linear-gradient(90deg, #8E2DE2, #4A00E0);
+#         box-shadow: 0 0 20px #8E2DE2, 0 0 30px #4A00E0;
+#     }
+#     .radium-label {
+#         font-size: 28px;
+#         font-weight: bold;
+#         color: white;
+#         padding: 10px 20px;
+#         border-radius: 12px;
+#         background: linear-gradient(90deg, #7F00FF, #E100FF);
+#         display: inline-block;
+#         margin-top: 20px;
+#     }
+#     </style>
+# """, unsafe_allow_html=True)
+
+# # Check Telugu text validity
+# def is_mostly_telugu(text):
+#     if not text.strip():
+#         return False
+#     telugu_pattern = r'[\u0C00-\u0C7F]'
+#     allowed_pattern = r'[a-zA-Z0-9\s.,!?]'
+#     telugu_chars = len(re.findall(telugu_pattern, text))
+#     allowed_chars = len(re.findall(allowed_pattern, text))
+#     total_chars = len(text)
+#     telugu_ratio = telugu_chars / total_chars if total_chars > 0 else 0
+#     valid_chars = telugu_chars + allowed_chars == total_chars
+#     return telugu_ratio >= 0.7 and valid_chars
+
+# # Clean text
+# def clean_input(text):
+#     cleaned_text = re.sub(r'[^a-zA-Z0-9\u0C00-\u0C7F\s?.!]', ' ', text)
+#     cleaned_text = re.sub(r'([?.!])(?![?.!]\s|$)', '', cleaned_text)
+#     return ' '.join(cleaned_text.split())
+
+# # Title
+# st.markdown('<div class="radium-title">Telugu Sentiment Analysis</div>', unsafe_allow_html=True)
+
+# # Input
+# user_input = st.text_area("Enter your Telugu text:")
+
+# if st.button("Predict"):
+#     if not user_input.strip():
+#         st.warning("Please enter some Telugu text.")
+#     else:
+#         cleaned = clean_input(user_input)
+#         if not is_mostly_telugu(cleaned):
+#             st.error("Please enter text primarily in Telugu script.")
+#         else:
+#             result = classifier(cleaned)[0]
+#             label = result['label']
+#             try:
+#                 index = int(label.split('_')[-1])
+#                 sentiment = labels[index]
+#             except (ValueError, IndexError):
+#                 sentiment = label.lower() if label.lower() in labels else "neutral"
+            
+#             # Display sentiment with emoji using radium label style
+#             sentiment_display = f'{sentiment.capitalize()} {emojis.get(sentiment, "")}'
+#             st.markdown(f'<div class="radium-label">{sentiment_display}</div>', unsafe_allow_html=True)
 import streamlit as st
 from transformers import pipeline
 import re
@@ -9,7 +96,7 @@ classifier = pipeline("text-classification", model="Mpavan45/Telugu_Sentimental_
 labels = ["neutral", "positive", "negative"]
 emojis = {"positive": "🤗", "negative": "😔", "neutral": "😐"}
 
-# Background and Title Styling
+# UI Styling
 st.markdown("""
     <style>
     .stApp {
@@ -18,7 +105,9 @@ st.markdown("""
         background-position: center;
         background-repeat: no-repeat;
         background-attachment: fixed;
+        font-family: 'Segoe UI', sans-serif;
     }
+
     .radium-title {
         font-size: 40px;
         text-align: center;
@@ -27,7 +116,9 @@ st.markdown("""
         border-radius: 10px;
         background: linear-gradient(90deg, #8E2DE2, #4A00E0);
         box-shadow: 0 0 20px #8E2DE2, 0 0 30px #4A00E0;
+        margin-bottom: 30px;
     }
+
     .radium-label {
         font-size: 28px;
         font-weight: bold;
@@ -38,10 +129,45 @@ st.markdown("""
         display: inline-block;
         margin-top: 20px;
     }
+
+    .radium-button > button {
+        font-size: 20px !important;
+        font-weight: bold !important;
+        color: white !important;
+        border: none !important;
+        padding: 12px 28px !important;
+        border-radius: 12px !important;
+        background: linear-gradient(90deg, #8E2DE2, #4A00E0) !important;
+        box-shadow: 0 0 10px #8E2DE2, 0 0 20px #4A00E0;
+        transition: all 0.3s ease-in-out;
+    }
+
+    .radium-button > button:hover {
+        box-shadow: 0 0 20px #fff, 0 0 30px #8E2DE2;
+        transform: scale(1.05);
+    }
+
+    textarea {
+        font-size: 20px !important;
+        line-height: 1.5 !important;
+        padding: 10px !important;
+    }
+
+    .example-box {
+        background-color: rgba(255, 255, 255, 0.1);
+        color: white;
+        padding: 10px 15px;
+        border-radius: 10px;
+        font-size: 18px;
+        margin-bottom: 10px;
+    }
     </style>
 """, unsafe_allow_html=True)
 
-# Check Telugu text validity
+# Title
+st.markdown('<div class="radium-title">Telugu Sentiment Analysis</div>', unsafe_allow_html=True)
+
+# Functions
 def is_mostly_telugu(text):
     if not text.strip():
         return False
@@ -54,34 +180,44 @@ def is_mostly_telugu(text):
     valid_chars = telugu_chars + allowed_chars == total_chars
     return telugu_ratio >= 0.7 and valid_chars
 
-# Clean text
 def clean_input(text):
     cleaned_text = re.sub(r'[^a-zA-Z0-9\u0C00-\u0C7F\s?.!]', ' ', text)
     cleaned_text = re.sub(r'([?.!])(?![?.!]\s|$)', '', cleaned_text)
     return ' '.join(cleaned_text.split())
 
-# Title
-st.markdown('<div class="radium-title">Telugu Sentiment Analysis</div>', unsafe_allow_html=True)
+# Show examples
+st.markdown("### 📝 You can only enter pure Telugu text. Try one of the examples below if you'd like:")
+st.markdown('<div class="example-box">ఈ సినిమాను చూసిన తర్వాత నా హృదయం తేలిపోయింది, ఇది అద్భుతమైన అనుభవం!</div>', unsafe_allow_html=True)
+st.markdown('<div class="example-box">ఈ రోజు నేను చాలా నిరాశతో ఉన్నాను. ఏది కూడా సరిగ్గా జరగడం లేదు.</div>', unsafe_allow_html=True)
 
 # Input
-user_input = st.text_area("Enter your Telugu text:")
-
-if st.button("Predict"):
-    if not user_input.strip():
-        st.warning("Please enter some Telugu text.")
-    else:
-        cleaned = clean_input(user_input)
-        if not is_mostly_telugu(cleaned):
-            st.error("Please enter text primarily in Telugu script.")
-        else:
-            result = classifier(cleaned)[0]
-            label = result['label']
-            try:
-                index = int(label.split('_')[-1])
-                sentiment = labels[index]
-            except (ValueError, IndexError):
-                sentiment = label.lower() if label.lower() in labels else "neutral"
-            
-            # Display sentiment with emoji using radium label style
-            sentiment_display = f'{sentiment.capitalize()} {emojis.get(sentiment, "")}'
-            st.markdown(f'<div class="radium-label">{sentiment_display}</div>', unsafe_allow_html=True)
+user_input = st.text_area(" ", height=180, key="input_box")
+
+# Buttons
+col1, col2 = st.columns(2)
+
+with col1:
+    if st.markdown('<div class="radium-button">', unsafe_allow_html=True):
+        if st.button("🔮 Predict"):
+            if not user_input.strip():
+                st.warning("Please enter some Telugu text.")
+            else:
+                cleaned = clean_input(user_input)
+                if not is_mostly_telugu(cleaned):
+                    st.error("Please enter text primarily in Telugu script.")
+                else:
+                    result = classifier(cleaned)[0]
+                    label = result['label']
+                    try:
+                        index = int(label.split('_')[-1])
+                        sentiment = labels[index]
+                    except (ValueError, IndexError):
+                        sentiment = label.lower() if label.lower() in labels else "neutral"
+
+                    sentiment_display = f'{sentiment.capitalize()} {emojis.get(sentiment, "")}'
+                    st.markdown(f'<div class="radium-label">{sentiment_display}</div>', unsafe_allow_html=True)
+
+with col2:
+    if st.markdown('<div class="radium-button">', unsafe_allow_html=True):
+        if st.button("🧹 Clear"):
+            st.experimental_rerun()