Update app.py

app.py

@@ -3,30 +3,21 @@ import requests.exceptions
 from huggingface_hub import HfApi, hf_hub_download
 from huggingface_hub.repocard import metadata_load
 
-def load_agent(model_id_1, model_id_2):
+def load_agent(model_id):
     """
     This function load the agent's video and results
     :return: video_path
     """
     # Load the metrics
-    metadata_1 = get_metadata(model_id_1)
+    metadata = get_metadata(model_id)
     
     # Get the accuracy
-    results_1 = parse_metrics_accuracy(metadata_1)
+    results = parse_metrics_accuracy(metadata)
     
     # Load the video
-    video_path_1 = hf_hub_download(model_id_1, filename="replay.mp4")
-    
-    # Load the metrics
-    metadata_2 = get_metadata(model_id_2)
-    
-    # Get the accuracy
-    results_2 = parse_metrics_accuracy(metadata_2)
-    
-    # Load the video
-    video_path_2 = hf_hub_download(model_id_2, filename="replay.mp4")
-    
-    return video_path_1, results_1, video_path_2, results_2
+    video_path = hf_hub_download(model_id, filename="replay.mp4")
+
+    return video_path, results
 
 
 def parse_metrics_accuracy(meta):
@@ -52,19 +43,12 @@ def get_metadata(model_id):
         return None
 
 
-gr.Interface(load_agent, 
-[
-        gr.Textbox(
-            label="Model 1",
-        ),
-        gr.Textbox(
-            label="Model 2",
-        ),
-    ],
-    ["video", "text", "video", "text"]
-    ).launch()
-#agent1 = gr.Interface(load_agent, "text", ["video", "text"])
-#agent2 = gr.Interface(load_agent, "text", ["video", "text"])
+agent1 = gr.Interface(load_agent, gr.Textbox(
+            label="model_1",
+        ), ["video", "text"])
+agent2 = gr.Interface(load_agent,  gr.Textbox(
+            label="model_2",
+        ), ["video", "text"])