Trying to load the model directly

app.py

@@ -6,6 +6,8 @@ from training_data_prep import list_format, modification, league_money, df_gen
 from feature_engineering import heroes, hero_information
 
 
+
+
 def fetch_data(user_id, mmr, comf_1, comf_2, comf_3, comf_4, comf_5):
     player_id = user_id.split("/")[-1]
 
@@ -39,30 +41,30 @@ def fetch_data(user_id, mmr, comf_1, comf_2, comf_3, comf_4, comf_5):
     print()
 
     return player_id
-
-demo = gr.Interface(
-    fn=fetch_data,
-    inputs=[
-        gr.Textbox(label="Player ID or Link to OpenDota/Dotabuff"),
-        gr.Textbox(label="MMR"),
-        gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 1)"),
-        gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 2)"),
-        gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 3)"),
-        gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 4)"),
-        gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 5)")
-    ],
-    # examples=[
-    #     [np.asarray(Image.open("examples/1500_maze.jpg")), "Bulge", True, 0.25, 0.5, 0.5, 0.5],
-    #     [np.asarray(Image.open("examples/2048_maze.jpg")), "Bulge", True, 0.25, 0.5, 0.5, 0.5],
-    #     [np.asarray(Image.open("examples/2300_fresh.jpg")), "Bulge", True, 0.25, 0.5, 0.5, 0.5],
-    #     [np.asarray(Image.open("examples/50_fresh.jpg")), "Bulge", True, 0.25, 0.5, 0.5, 0.5]
-    # ],
-    outputs=[
-        "text"
-    ],
-    title="RD2L Pricing Prediction",
-    article="Uhhhhh this is the article",
-    description="Uhhhhh this is the description"
-)
-demo.launch()
+demo = gr.Interface.load("https://huggingface.co/nick-leland/RD2L_Random_Forest").launch()
+# demo = gr.Interface(
+#     fn=fetch_data,
+#     inputs=[
+#         gr.Textbox(label="Player ID or Link to OpenDota/Dotabuff"),
+#         gr.Textbox(label="MMR"),
+#         gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 1)"),
+#         gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 2)"),
+#         gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 3)"),
+#         gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 4)"),
+#         gr.Slider(1, 5, value=1, step=1, label="Comfort (Pos 5)")
+#     ],
+#     # examples=[
+#     #     [np.asarray(Image.open("examples/1500_maze.jpg")), "Bulge", True, 0.25, 0.5, 0.5, 0.5],
+#     #     [np.asarray(Image.open("examples/2048_maze.jpg")), "Bulge", True, 0.25, 0.5, 0.5, 0.5],
+#     #     [np.asarray(Image.open("examples/2300_fresh.jpg")), "Bulge", True, 0.25, 0.5, 0.5, 0.5],
+#     #     [np.asarray(Image.open("examples/50_fresh.jpg")), "Bulge", True, 0.25, 0.5, 0.5, 0.5]
+#     # ],
+#     outputs=[
+#         "text"
+#     ],
+#     title="RD2L Pricing Prediction",
+#     article="Uhhhhh this is the article",
+#     description="Uhhhhh this is the description"
+# )
+# demo.launch()