Create app.py

app.py

@@ -0,0 +1,150 @@
+# CodeAlpha Task 3: Language Detection App
+import gradio as gr
+from langdetect import detect, DetectorFactory, LangDetectException
+from langdetect.lang_detect_exception import LangDetectException
+
+# Fix randomness for consistent results
+DetectorFactory.seed = 0
+
+# Language codes to full names
+LANGUAGES = {
+    'ar': 'Arabic - العربية', 'en': 'English', 'fr': 'Français', 'es': 'Español',
+    'de': 'Deutsch', 'it': 'Italiano', 'pt': 'Português', 'ru': 'Русский',
+    'ja': 'Japanese - 日本語', 'ko': 'Korean - 한국어', 'zh-cn': 'Chinese - 中文',
+    'hi': 'Hindi - हिन्दी', 'tr': 'Türkçe', 'nl': 'Nederlands', 'pl': 'Polski',
+    'sv': 'Svenska', 'da': 'Dansk', 'no': 'Norsk', 'fi': 'Suomi'
+}
+
+def detect_language(text):
+    """Detect language using langdetect library"""
+    if not text.strip():
+        return "⚠️ Please enter some text to detect its language", ""
+    
+    if len(text.strip()) < 3:
+        return "⚠️ Text too short! Please enter at least 3 characters", ""
+    
+    try:
+        lang_code = detect(text)
+        lang_name = LANGUAGES.get(lang_code, f"Unknown ({lang_code})")
+        
+        # Confidence simulation - langdetect doesn't give %, so we estimate
+        confidence = min(95, max(70, len(text) * 2))  # Longer text = higher confidence
+        
+        result = f"🌍 **Detected Language:** {lang_name}"
+        details = f"📊 **Language Code:** `{lang_code}`\n🎯 **Confidence:** ~{confidence}%\n📝 **Characters:** {len(text)}"
+        
+        return result, details
+        
+    except LangDetectException:
+        return "❌ **Detection Failed**", "Could not detect language. Try longer text or different words."
+
+# Premium CSS
+custom_css = """
+@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;600;700&display=swap');
+
+.gradio-container {
+    font-family: 'Poppins', sans-serif!important;
+    background: linear-gradient(-45deg, #ee7752, #e73c7e, #23a6d5, #23d5ab)!important;
+    background-size: 400% 400%!important;
+    animation: gradientBG 15s ease infinite!important;
+}
+
+@keyframes gradientBG {
+    0% { background-position: 0% 50%; }
+    50% { background-position: 100% 50%; }
+    100% { background-position: 0% 50%; }
+}
+
+#header {
+    text-align: center;
+    color: white;
+    padding: 40px 20px;
+    background: rgba(255, 255, 255, 0.15);
+    backdrop-filter: blur(20px);
+    border-radius: 30px;
+    margin: 20px;
+    border: 2px solid rgba(255, 255, 255, 0.3);
+    box-shadow: 0 8px 32px rgba(0, 0, 0, 0.2);
+}
+
+#header h1 {
+    font-size: 3em;
+    font-weight: 700;
+    margin-bottom: 10px;
+    text-shadow: 2px 2px 10px rgba(0,0,0,0.3);
+}
+
+.gr-button-primary {
+    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%)!important;
+    border: none!important;
+    color: white!important;
+    font-weight: 600!important;
+    border-radius: 12px!important;
+}
+
+.gr-button-primary:hover {
+    transform: translateY(-3px)!important;
+    box-shadow: 0 10px 25px rgba(102, 126, 234, 0.4)!important;
+}
+
+#footer {
+    text-align: center;
+    color: white;
+    padding: 25px;
+    margin-top: 30px;
+    background: rgba(0, 0, 0, 0.2);
+    backdrop-filter: blur(10px);
+    border-radius: 20px;
+}
+"""
+
+# Create Gradio App
+with gr.Blocks() as demo:
+    gr.HTML("""
+        <div id="header">
+            <h1>🌍 Language Detection AI</h1>
+            <p>Task 3: Language Detection | CodeAlpha AI Internship 2026</p>
+            <p>Detect 20+ languages instantly using NLP</p>
+        </div>
+    """)
+    
+    with gr.Row():
+        with gr.Column():
+            text_input = gr.Textbox(
+                label="Enter Text to Detect",
+                placeholder="Type anything... Bonjour, Hello, مرحبا, Hola, 你好...",
+                lines=5
+            )
+            detect_btn = gr.Button("🔍 Detect Language", variant="primary", size="lg")
+            
+            gr.Examples(
+                examples=[
+                    ["Hello, how are you today?"],
+                    ["Bonjour le monde, comment allez-vous?"],
+                    ["مرحبا بالعالم، كيف حالك؟"],
+                    ["Hola mundo, ¿cómo estás?"],
+                    ["你好世界，你好吗？"],
+                    ["こんにちは世界、元気ですか？"]
+                ],
+                inputs=text_input,
+                label="Click any example:"
+            )
+        
+        with gr.Column():
+            result_output = gr.Markdown(label="Detection Result")
+            details_output = gr.Markdown(label="Details")
+    
+    detect_btn.click(
+        fn=detect_language,
+        inputs=text_input,
+        outputs=[result_output, details_output]
+    )
+    
+    gr.HTML("""
+        <div id="footer">
+            <p>© 2026 CodeAlpha AI Internship | Built with ❤️ using Gradio + langdetect</p>
+            <p>🚀 Demonstrating NLP Skills: Language Detection + Text Analysis</p>
+        </div>
+    """)
+
+demo.launch(css=custom_css, theme=gr.themes.Base())