Create app.py

app.py

@@ -0,0 +1,56 @@
+import gradio as gr
+from transformers import pipeline
+from huggingface_hub import notebook_login
+import re
+import requests
+import json
+import detectlanguage
+from detectlanguage import simple_detect
+# use this link to get your api key https://detectlanguage.com/
+detectlanguage.configuration.api_key = "d0aeb9f0050c99468ee7e3319ff4695f"
+detectlanguage.configuration.secure = True
+def preprocessing(sentence):
+  # remove @user and adjust the sentence
+  text = sentence.lower().strip()
+  # remove punctuations
+  text = re.sub(r'[^\w\s]', '', str(text)).strip()
+  # remove links
+  text = re.sub(r'https?://\S+|www\.\S+', '',text).strip()
+  # remove hidden links
+  text = re.sub(r'(?:https?\S+)','',text).strip()
+  # remove emojis
+  text = re.sub(r'[\U0001f600-\U0001f650]', '', text).strip()
+  # remove digits
+  text = re.sub(r'[\d]','',text).strip()
+  return text
+def translate(text : str , target_lang : str, source_lang : str):
+  """
+  Params: Receives Texts, target language, source language code
+  ruturn: translated Text
+  """
+  api_url = "https://translate.googleapis.com/translate_a/single"
+  client = "?client=gtx&dt=t"
+  dt = "&dt=t"
+  sl = f"&sl={source_lang}"
+  tl = f"&tl={target_lang}"
+  r = requests.get(api_url+ client + dt + sl + tl + "&q=" + text)
+  return json.loads(r.text)[0][0][0]
+specific_model = pipeline("sentiment-analysis", model="RogerB/kin-sentiC")
+def greet(sentence):
+  text = preprocessing(sentence)
+  source_lang = simple_detect(text)
+  if text == 'rw':
+    label = specific_model(text)
+    return {label[0]['label']:label[0]['score']}
+  else:
+    try:
+      text = translate(text, target_lang='rw', source_lang=source_lang)
+      label = specific_model(text)
+      return {label[0]['label']:label[0]['score']}
+    except json.JSONDecodeError:
+      label = specific_model(text)
+      return {label[0]['label']:label[0]['score']}
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="label",title="Multilingual Sentiment Anaysis context of Kinyarwanda Tweets")
+
+demo.launch(debug=False)