Update app.py

app.py

@@ -28,6 +28,7 @@ import warnings
 warnings.filterwarnings("ignore")
 nltk.download('punkt')
 nltk.download('stopwords')
+from fastapi import FastAPI, Request
 import pickle
 model = pickle.load(open("https://huggingface.co/spaces/sercetexam9/fakenewsdetection/resolve/main/fakenews.sav", 'rb'))
 import gradio as gr
@@ -93,15 +94,16 @@ def predict(text):
         del pred,logi,out,logits_tensor
         gc.collect()  
 
-    predict=str()
+    result=str()
     if y_pred==[1]:
        predict="This may be a fake news."
     else:
        predict="This may be a real news."
-    return predict
+    return result
+
 demo = gr.Interface(
     fn=predict,
     inputs=["text"],
-    outputs=["predict"],
+    outputs=["text"],
 )
 demo.launch(share=True)