test with ml loading

app.py

@@ -1,17 +1,17 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+from gradio_client import Client
 
 # from huggingface_hub import InferenceClient
 # API_URL = "https://api-inference.huggingface.co/models/esteele/carlas-loan-classifier-model"
-client = InferenceClient("esteele/carlas-loan-classifier-model")
+client = Client("esteele/carlas-loan-classifier-model")
 #
 
-def greet(name):
-    return "Hello " + name + "!!"
-
-
-inface = gr.Interface(fn=greet, inputs="text", outputs="text")
-inface.launch()
+# def greet(name):
+#     return "Hello " + name + "!!"
+#
+#
+# inface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# inface.launch()
 
 def predict(
         loan_original_amount,

requirements.txt

@@ -1,3 +1,2 @@
 gradio
-huggingface_hub
-pandas
+gradio_client