Update app.py

app.py

@@ -7,6 +7,7 @@ import requests
 from huggingface_hub import HfApi
 import tempfile
 from dotenv import load_dotenv
+import webbrowser
 
 # Load environment variables
 load_dotenv()
@@ -175,8 +176,9 @@ When your API is deployed :
 2. Enter the Space URL of your API
 3. (Optional) Precise the API route (default is ``/text``, ``/image``, or ``/audio``)
 4. Step 1 - Evaluate model: Click on the button to evaluate your model. This will run you model on your API, computes the accuracy on the test set (20% of the train set), and track the energy consumption and emissions.
-5. Step 2 - Submit to leaderboard: Click on the button to submit your results to the leaderboard. This will upload the results to the leaderboard dataset and update the leaderboard.
-6. You can see the leaderboards at 
+5. Step 2 - Submit to leaderboard (optional): Click on the button to submit your results to the leaderboard. This will upload the results to the leaderboard dataset and update the leaderboard.
+6. Step 3 - Submit to final evaluation (as a form): [Click on the button to submit your results to the challenge](https://framaforms.org/2025-frugal-ai-challenge-submission-form-1736883260-0). This will open a form to submit your results to the challenge.
+7. You can see the public leaderboards at the following links - they are mostly informational because we will rank the models on the private dataset after the challenge ended, but you can see the current state of the leaderboard.
     - Text - https://huggingface.co/datasets/frugal-ai-challenge/public-leaderboard-text
     - Image - https://huggingface.co/datasets/frugal-ai-challenge/public-leaderboard-image
     - Audio - https://huggingface.co/datasets/frugal-ai-challenge/public-leaderboard-audio
@@ -209,7 +211,9 @@ The goal of the Frugal AI Challenge is to encourage both academic and industry a
                 with gr.Column(scale=1):
                     text_evaluate_btn = gr.Button("1. Evaluate model", variant="secondary")
                 with gr.Column(scale=1):
-                    text_submit_btn = gr.Button("2. Submit to leaderboard", variant="primary")
+                    text_submit_btn = gr.Button("2. Submit to public leaderboard (optional)", variant="secondary")
+                with gr.Column(scale=1):
+                    text_submit_btn2 = gr.Button("3. Submit to final evaluation (form)", variant="primary")
                     
             with gr.Row():
                 text_accuracy = gr.Number(label="Accuracy", precision=4)
@@ -236,7 +240,9 @@ The goal of the Frugal AI Challenge is to encourage both academic and industry a
                 with gr.Column(scale=1):
                     image_evaluate_btn = gr.Button("1. Evaluate model", variant="secondary")
                 with gr.Column(scale=1):
-                    image_submit_btn = gr.Button("2. Submit to leaderboard", variant="primary")
+                    image_submit_btn = gr.Button("2. Submit to public leaderboard (optional)", variant="secondary")
+                with gr.Column(scale=1):
+                    image_submit_btn2 = gr.Button("3. Submit to final evaluation (form)", variant="primary")
                     
             with gr.Row():
                 image_accuracy = gr.Number(label="Accuracy", precision=4)
@@ -263,7 +269,9 @@ The goal of the Frugal AI Challenge is to encourage both academic and industry a
                 with gr.Column(scale=1):
                     audio_evaluate_btn = gr.Button("1. Evaluate model", variant="secondary")
                 with gr.Column(scale=1):
-                    audio_submit_btn = gr.Button("2. Submit to leaderboard", variant="primary")
+                    audio_submit_btn = gr.Button("2. Submit to public leaderboard (optional)", variant="secondary")
+                with gr.Column(scale=1):
+                    audio_submit_btn2 = gr.Button("3. Submit to final evaluation (form)", variant="primary")
                     
             with gr.Row():
                 audio_accuracy = gr.Number(label="Accuracy", precision=4)
@@ -272,6 +280,13 @@ The goal of the Frugal AI Challenge is to encourage both academic and industry a
             with gr.Row():
                 audio_results_json = gr.JSON(label="Detailed Results", visible=True)
 
+
+    FORM_URL = "https://framaforms.org/2025-frugal-ai-challenge-submission-form-1736883260-0"
+
+    def open_form():
+        webbrowser.open_new_tab(FORM_URL)
+        return gr.Info("Opening submission form in new tab...")
+
     # Set up event handlers
     text_evaluate_btn.click(
         lambda url, route: evaluate_model(route.strip("/"), url),
@@ -279,35 +294,47 @@ The goal of the Frugal AI Challenge is to encourage both academic and industry a
         outputs=[text_accuracy, text_emissions, text_energy, text_results_json]
     )
     
+    text_submit_btn2.click(
+        fn=open_form,
+        inputs=[],
+        outputs=[]
+    )
+    
     image_evaluate_btn.click(
         lambda url, route: evaluate_model(route.strip("/"), url),
         inputs=[image_space_url, image_route],
         outputs=[image_accuracy, image_emissions, image_energy, image_results_json]
     )
     
-    audio_evaluate_btn.click(
-        lambda url, route: evaluate_model(route.strip("/"), url),
-        inputs=[audio_space_url, audio_route],
-        outputs=[audio_accuracy, audio_emissions, audio_energy, audio_results_json]
-    )
-    
-    text_submit_btn.click(
-        lambda results: submit_results("text", results),
-        inputs=[text_results_json],
-        outputs=None
-    )
-    
     image_submit_btn.click(
         lambda results: submit_results("image", results),
         inputs=[image_results_json],
         outputs=None
     )
     
+    image_submit_btn2.click(
+        fn=open_form,
+        inputs=[],
+        outputs=[]
+    )
+    
+    audio_evaluate_btn.click(
+        lambda url, route: evaluate_model(route.strip("/"), url),
+        inputs=[audio_space_url, audio_route],
+        outputs=[audio_accuracy, audio_emissions, audio_energy, audio_results_json]
+    )
+    
     audio_submit_btn.click(
         lambda results: submit_results("audio", results),
         inputs=[audio_results_json],
         outputs=None
     )
+    
+    audio_submit_btn2.click(
+        fn=open_form,
+        inputs=[],
+        outputs=[]
+    )
 
 if __name__ == "__main__":
     demo.launch()