first deploy

app.py

@@ -1,8 +1,29 @@
 import gradio as gr
+import pandas as pd
+import numpy as np
+import pickle
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+remote_df = pd.read_excel('test_df.xlsx')
 
+def predict(x1, x2):
+
+  X = np.array([x1, x2], ndmin = 2)
+
+  with open('test_model.pkl', 'rb') as model:
+    clf = pickle.load(model)
+
+  y_pred = clf.predict(X)
+
+  return y_pred + remote_df['col1'][0]
+
+demo = gr.Interface(
+    predict,
+    inputs = [gr.Number(), gr.Number()],
+    outputs = gr.Number(),
+    examples=[
+    ],
+    title = 'Deploy Test'
+)
+
+demo.launch(share = True)

requirements.txt

@@ -0,0 +1,3 @@
+pandas
+numpy
+pickle