Updated app.py to use Hugging Face InferenceClient correctly

app.py

@@ -1,19 +1,17 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Use the correct Hugging Face InferenceClient initialization
-client = InferenceClient("willco-afk/languages")  # No need for repo_id here
+# Create an InferenceClient object (correct method)
+client = InferenceClient(repo_id="willco-afk/languages")
 
 # Define the prediction function
 def predict(input_text):
-    try:
-        result = client(input_text)  # Call the model
-        return result  # Assuming the result is directly usable
-    except Exception as e:
-        return f"Error: {e}"
+    # Use the 'predict' method to get the output
+    result = client.predict(input_text)
+    return result
 
-# Create the Gradio interface
+# Define the Gradio interface
 iface = gr.Interface(fn=predict, inputs="text", outputs="text")
 
-# Launch the interface
+# Launch the interface locally
 iface.launch()