updated and added trans api

app.py

@@ -7,14 +7,47 @@ roberta_pipe = pipeline(
     return_all_scores = True
 )
 
-def analyse_sentiment(text):
-    response = roberta_pipe(text)
-    d = {}
-    for i in response[0]:
-      d[i['label'].lower()] = i['score']
-    return d
+import requests
 
-text = gr.Textbox(lines=5, placeholder="Enter Text to Get Sentiment",default="", label="Enter Text")
+TRANS_API = "https://hussain-shk-indictrans-indic2english.hf.space/run/predict"
 
-iface = gr.Interface(fn=analyse_sentiment, inputs=[text], outputs="label", title='Roberta Sentiment Analysis')
-iface.launch(enable_queue=True)
+def trans(text: str, source:str, target:str):
+    response = requests.post(TRANS_API, json={
+    "data": [
+      text,
+      source,
+      target
+    ]
+  }, timeout=None).json()
+    return response["data"][0]
+
+def analyse_sentiment(text, source):
+   if source != "English":
+        text = trans(text, source, "English")
+   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", "Gujrati"],]
+
+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()