added sentiment

app.py

@@ -15,14 +15,43 @@ INDIC = {"Assamese": "as", "Bengali": "bn", "Gujarati": "gu", "Hindi": "hi","Kan
 def translate(text, lang):
   return indic2en_model.translate_paragraph(text, INDIC[lang], 'en')
 
-languages = list(INDIC.keys())
-drop_down = gr.inputs.Dropdown(languages, type="value", default="Hindi", label="Select Source Language")
-text = gr.inputs.Textbox(lines=5, placeholder="Enter Text to translate", default="", label="Enter Text in Source Language")
-text_ouptut = gr.outputs.Textbox(label="Translated text in English")
 
-# example=[['I want to translate this sentence in Hindi','Hindi'],
-#         ['I am feeling very good today.', 'Bengali']]
-
-supported_lang = ', '.join(languages)
-iface = gr.Interface(enable_queue=True,fn=translate, inputs=[text,drop_down] , outputs=text_ouptut, title='IndicTrans NMT System', description = 'Currently the model supports ' + supported_lang , examples=None)
-iface.launch()
+from transformers import pipeline
+import gradio as gr
+roberta_pipe = pipeline(
+    "sentiment-analysis",
+    model="siebert/sentiment-roberta-large-english",
+    tokenizer="siebert/sentiment-roberta-large-english",
+    return_all_scores = True
+)
+
+def analyse_sentiment(text, source):
+   if source != "English":
+        text = translate(text, source)
+   response = roberta_pipe(text)
+   d = {}
+   for i in response[0]:
+     d[i['label'].lower()] = i['score']
+   return d
+
+languages = ["Assamese", "Bengali", "Gujarati", "Hindi", "Kannada","Malayalam", "Marathi", "Odia", "Punjabi", "Tamil", "Telugu", "English"]
+
+input_text = gr.Textbox(placeholder="Enter a positive or negative sentence here...")
+drop_down = gr.inputs.Dropdown(languages, type="value", default="English", label="Select Source Language")
+
+examples = [["this book was a great book that i have read many times", "English"],
+              ["एक महान अमेरिकी लेखक का एक आकर्षक संग्रह" , "Hindi"],
+              ["हा आतापर्यंतचा सर्वात वाईट चित्रपट आहे यात शंका नाही", "Marathi"],
+              ["இந்த தயாரிப்பு ஆச்சரியமாக இருக்கிறது", "Tamil"],
+              ["તમારા માટે નહીં જો તમે વિના અવરોધે વીડિયો શોધી રહ્યા છો", "Gujarati"],]
+
+demo = gr.Interface(
+    enable_queue=True,
+    fn=analyse_sentiment, 
+    inputs=[input_text, drop_down], 
+    outputs="label", 
+    interpretation="default",
+    title='IndiSent: Multilingual Sentiment Analysis',
+    examples=examples)
+
+demo.launch(share = True, debug=True, inline=True)