Test

app.py

@@ -1,14 +1,14 @@
 import streamlit as st
 
-# from emotion_model import emotion_predict
-name = st.text_input("Enter your sentence here")
+from emotion_model import emotion_predict
 
+name = st.text_input("Enter your sentence here")
 if (st.button('Submit')):
     result = name.title()
-    a = "Hi, this is morning bro, happy to see you"
-    # try:
-    #     result_check = emotion_predict(a)
-    # except Exception as E:
-    #     result_check = "Error"
-    #     print(E)
-    st.success(a)
+    try:
+        result_check = emotion_predict(result)
+    except Exception as E:
+        result_check = "Error"
+        print(E)
+
+    st.success(result_check)

pre_processing_data.py

@@ -2,6 +2,7 @@ import contractions
 import spacy
 import nltk
 import pickle
+import subprocess
 
 from nltk.corpus import stopwords
 from nltk.tokenize import RegexpTokenizer
@@ -12,6 +13,9 @@ nltk.download('wordnet')
 nltk.download('omw-1.4')
 nltk.download('stopwords')
 nltk.download('averaged_perceptron_tagger')
+
+model_url = "https://huggingface.co/spacy/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl"
+subprocess.run(["pip", "install", model_url])
 nlp = spacy.load("en_core_web_sm")
 
 stop_words = set(stopwords.words('english'))

requirements.txt

@@ -209,3 +209,4 @@ wheel==0.38.4
 widgetsnbextension==4.0.5
 wrapt==1.14.1
 zipp==3.15.0
+https://huggingface.co/spacy/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl