create app.py

app.py

@@ -0,0 +1,141 @@
+import streamlit as st
+import webbrowser
+from nltk.sentiment.vader import SentimentIntensityAnalyzer
+import nltk
+import time
+import plotly.graph_objects as go
+
+# Set page config at the very beginning
+st.set_page_config(page_title="Theaimart - Sentiment Analysis", layout="wide", initial_sidebar_state="auto")
+
+# Download necessary NLTK data
+@st.cache_resource
+def download_nltk_data():
+    nltk.download('vader_lexicon', quiet=True)
+
+download_nltk_data()
+sid = SentimentIntensityAnalyzer()
+
+def analyze_sentiment(sentence):
+    if sentence:
+        sentiment_scores = sid.polarity_scores(sentence)
+        highest_score = max(sentiment_scores, key=sentiment_scores.get)
+        sentiment_dict = {
+            'neg': 'Negative 😔',
+            'neu': 'Neutral 😐',
+            'pos': 'Positive 😊',
+            'compound': 'Mixed 🤔'
+        }
+        highest_sentiment = sentiment_dict[highest_score]
+        
+        return sentiment_scores, highest_sentiment
+    return None, None
+
+# Custom CSS to improve the app's appearance
+st.markdown("""
+    <style>
+    .main {
+        background-color: #f0f2f6;
+    }
+    .stButton>button {
+        color: #ffffff;
+        background-color: #4CAF50;
+        border-radius: 5px;
+        border: none;
+        padding: 10px 24px;
+        transition: all 0.3s ease-in-out;
+    }
+    .stButton>button:hover {
+        background-color: #45a049;
+        transform: translateY(-2px);
+    }
+    .stTextInput>div>div>input {
+        border-radius: 5px;
+    }
+    .stTextArea textarea {
+        border: 2px solid #4CAF50;
+        border-radius: 5px;
+    }
+    .stTextArea textarea:focus {
+        box-shadow: 0 0 5px #4CAF50;
+    }
+    div.row-widget.stButton {
+        text-align: center;
+    }
+    </style>
+    """, unsafe_allow_html=True)
+
+# App title with animation
+st.markdown(
+    """
+    <h1 style='text-align: center; color: #2E86C1; animation: fadeIn 1.5s;'>
+        Sentiment Analysis Tool
+    </h1>
+    """,
+    unsafe_allow_html=True
+)
+
+# Animated description
+st.markdown(
+    """
+    <p style='text-align: center; font-size: 18px; animation: slideIn 1.5s;'>
+        Analyze the sentiment of your text with our advanced AI-powered tool!
+    </p>
+    """,
+    unsafe_allow_html=True
+)
+
+input_text = st.text_area("Enter text for sentiment analysis", height=150)
+
+# Center the Analyze button
+col1, col2, col3 = st.columns([1,1,1])
+with col2:
+    analyze_button = st.button("Analyze")
+
+if analyze_button:
+    with st.spinner("Analyzing sentiment..."):
+        sentiment_scores, highest_sentiment = analyze_sentiment(input_text)
+        
+        if sentiment_scores:
+            # Create a radar chart for sentiment scores
+            categories = ['Negative', 'Neutral', 'Positive', 'Compound']
+            values = [sentiment_scores['neg'], sentiment_scores['neu'], sentiment_scores['pos'], sentiment_scores['compound']]
+
+            fig = go.Figure(data=go.Scatterpolar(
+                r=values,
+                theta=categories,
+                fill='toself',
+                line=dict(color='#2E86C1')
+            ))
+
+            fig.update_layout(
+                polar=dict(
+                    radialaxis=dict(visible=True, range=[0, 1])
+                ),
+                showlegend=False
+            )
+
+            st.plotly_chart(fig, use_container_width=True)
+
+            st.markdown(f"<h2 style='text-align: center; color: #2E86C1;'>Overall Sentiment: {highest_sentiment}</h2>", unsafe_allow_html=True)
+
+            # Display detailed scores
+            col1, col2, col3, col4 = st.columns(4)
+            col1.metric("Negative", f"{sentiment_scores['neg']:.2f}")
+            col2.metric("Neutral", f"{sentiment_scores['neu']:.2f}")
+            col3.metric("Positive", f"{sentiment_scores['pos']:.2f}")
+            col4.metric("Compound", f"{sentiment_scores['compound']:.2f}")
+
+    with st.spinner("Loading ad..."):
+        time.sleep(3)  # Simulate a delay for loading
+        webbrowser.open("https://shaidraup.net/4/7529971")
+
+# Footer
+st.markdown(
+    """
+    <div style='text-align: center; padding: 20px; animation: fadeIn 2s;'>
+        <p>Powered by Theaimart © 2024</p>
+    </div>
+    """,
+    unsafe_allow_html=True
+)