Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 import matplotlib.pyplot as plt
 from transformers import pipeline
+import langdetect
 
 # Laad de modellen
 translator = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en")
@@ -9,15 +10,21 @@ classifier = pipeline("sentiment-analysis", model="cardiffnlp/twitter-roberta-ba
 # Functie om meerdere zinnen te vertalen en analyseren
 def analyze_multilingual_sentences(text):
     if not text.strip():
-        return "⚠️ Voer een tekst in voor analyse.", None
+        return "⚠️ Enter some text to analyze.", None
 
     # Splits de input op nieuwe regels (elke regel is een aparte zin)
     sentences = [s.strip() for s in text.split("\n") if s.strip()]
     
-    # Vertaal elke zin naar Engels
-    translated_sentences = [translator(sentence)[0]['translation_text'] for sentence in sentences]
+    # Detecteer de taal van de eerste zin als referentie (kan niet per zin)
+    detected_lang = langdetect.detect(sentences[0]) if sentences else "en"
 
-    # Voer sentimentanalyse uit op elke vertaalde zin
+    # Vertaal alleen als de tekst NIET in het Engels is
+    if detected_lang != "en":
+        translated_sentences = [translator(sentence)[0]['translation_text'] for sentence in sentences]
+    else:
+        translated_sentences = sentences
+
+    # Voer sentimentanalyse uit op de (vertaalde) tekst
     results = classifier(translated_sentences)
 
     # Tel het aantal positieve, negatieve en neutrale resultaten
@@ -26,7 +33,7 @@ def analyze_multilingual_sentences(text):
     neutral_count = len(results) - (positive_count + negative_count)  # NEUTRAL
 
     # Maak een overzichtelijke output
-    output = "**🌍 Meertalige Sentimentanalyse Resultaten:**\n\n"
+    output = "**🌍 Sentiment Analysis Results:**\n\n"
     for original, translated, result in zip(sentences, translated_sentences, results):
         sentiment_label = result['label']
         score = result['score']
@@ -42,10 +49,13 @@ def analyze_multilingual_sentences(text):
             sentiment = "NEUTRAL"
             emoji = "🟦"
 
-        output += f"📌 **'{original}'**\n🔄 **Vertaling:** {translated}\n📊 **Sentiment:** {emoji} {sentiment} ({score:.2f})\n\n"
+        output += f"📌 **'{original}'**\n"
+        if detected_lang != "en":  # Alleen vertaling tonen als invoer niet in het Engels is
+            output += f"🔄 **Translation:** {translated}\n"
+        output += f"📊 **Sentiment:** {emoji} {sentiment} ({score:.2f})\n\n"
 
     # Maak een grafiek met de sentimentverdeling
-    labels = ["Positief", "Neutraal", "Negatief"]
+    labels = ["Positive", "Neutral", "Negative"]
     values = [positive_count, neutral_count, negative_count]
     colors = ["#4CAF50", "#2196F3", "#F44336"]  # Groen, Blauw, Rood
 
@@ -55,8 +65,20 @@ def analyze_multilingual_sentences(text):
 
     return output, fig
 
+# Voorbeelden gesplitst in boven en onder
+examples_top = [
+    ["I just aced my exam. My cat knocked over my coffee. Pineapple on pizza is the best debate of our generation."],
+    ["Woke up feeling like the main character. Spilled my cereal and questioned my life choices. This app better not judge me."],
+    ["Mondays should be illegal. I found a sock that’s been missing for six months. The WiFi went out, total meltdown mode."]
+]
+
+examples_bottom = [
+    ["Bought a plant, named it Kevin. Kevin is already dying. Send help and sunlight."],
+    ["Coffee is my entire personality now. Just danced in the rain and felt like I was in a movie. AI, tell me if I’m emotionally stable."],
+    ["I accidentally sent ‘love you’ to my boss. Had ice cream for breakfast because why not. My dog just ignored me, rude."]
+]
+
 # Gradio-interface met tekstanalyse en een grafiek
-# Aangepaste Gradio-interface met stijling
 demo = gr.Interface(
     fn=analyze_multilingual_sentences,
     inputs=gr.Textbox(
@@ -70,21 +92,15 @@ demo = gr.Interface(
         Enter sentences in any language—this AI-powered app translates, analyzes the vibe, and shows the results in a cool summary & chart.
     </div>
     """,
-    examples=[
-        ["I just aced my exam. My cat knocked over my coffee. Pineapple on pizza is the best debate of our generation."],
-        ["Woke up feeling like the main character. Spilled my cereal and questioned my life choices. This app better not judge me."],
-        ["Mondays should be illegal. I found a sock that’s been missing for six months. The WiFi went out, total meltdown mode."],
-        ["Bought a plant, named it Kevin. Kevin is already dying. Send help and sunlight."],
-        ["Coffee is my entire personality now. Just danced in the rain and felt like I was in a movie. AI, tell me if I’m emotionally stable."],
-        ["I accidentally sent ‘love you’ to my boss. Had ice cream for breakfast because why not. My dog just ignored me, rude."],
-        ["I love coding. Syntax error. WHY IS THIS HAPPENING TO ME."],
-    ],
+    examples=examples_top,  # Eerste drie voorbeelden boven
     theme="default",
     allow_flagging="never"
 )
 
+# Extra voorbeeldsectie onder het invoerveld
+extra_examples = gr.Examples(examples_bottom, inputs=demo.input_components)
+
 # Start de app
 demo.launch()
-
-
+extra_examples.launch()