Update app.py

app.py

@@ -4,7 +4,7 @@ import joblib
 # Function to load your model (adjust the path and method if needed)
 def load_model():
     # This path is relative to the root of your Hugging Face Space
-    model_path = "./random_forest_model_3labels2.joblib"
+    model_path = "./en-hate-speech-detection-3label"
     model = joblib.load(model_path)
     return model
 
@@ -19,13 +19,12 @@ def predict_hate_speech(text):
 
 # Adjusted Gradio interface to take text input and output model predictions
 iface = gr.Interface(fn=predict_hate_speech, 
-                     inputs=gr.inputs.Textbox(lines=2, placeholder="Enter Text Here..."), 
+                     inputs=gr.Textbox(lines=2, placeholder="Enter Text Here..."), 
                      outputs="text", 
-                     description="Detects hate speech in text. Outputs 'No Hate Speech', 'Offensive Language', or 'Hate Speech'.")
+                     description="Detects hate speech in text. Outputs 'Neutral or Ambiguous', 'Not Hate', 'Offensive or Hate Speech'.")
 iface.launch()
 
 
-
 """
 import gradio as gr