Update app.py

app.py

@@ -29,26 +29,15 @@ def get_ext(uploaded_file):
     extype = uID+uploaded_file.name
     return extype
 
-
-
-@st.cache_resource(ttl=3600)
-def read_model(url):
-    response = requests.get(url)
-    open("temp.pkl", "wb").write(response.content)
-    with open("temp.pkl", "rb") as f:
-        svm_classifier = pickle.load(f)
-    return svm_classifier
-
-
 def read_tf(url):
     response = requests.get(url)
     open("temp.pkl", "wb").write(response.content)
     with open("temp.pkl", "rb") as f:
         preprocessing = pickle.load(f)
     return preprocessing
-
-svm_classifier = read_model("https://github.com/manika-lamba/ml/raw/main/category/model2.pkl")
-preprocessing = read_tf("https://github.com/manika-lamba/ml/raw/main/category/preprocessing.pkl")
+    
+svm_classifier = read_model("model2.pkl")
+preprocessing = read_tf("preprocessing.pkl")
 
 # Function to predict the category for a given abstract
 def predict_category(abstract):
@@ -71,6 +60,7 @@ def conv_txt(extype):
     papers.rename(columns=col_dict, inplace=True)
     return papers
 
+
 #===Read data===
 
 # uploaded_file = st.file_uploader("Choose a file", type=['csv'])