Update app.py

app.py

@@ -28,6 +28,7 @@ from info.about import(
 from src.processing import filter_benchmarks_table
 
 inference_endpoint_url = os.environ['inference_endpoint_url']
+submission_form_endpoint_url = os.environ['submission_form_endpoint_url']
 inference_concurrency_limit = os.environ['inference_concurrency_limit']
 
 demo = gr.Blocks()
@@ -45,6 +46,33 @@ with demo:
     gr.Markdown("""A special shout-out to the 🤗 [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) 
                 team for generously sharing their code and best 
                 practices, ensuring that AI Developers have a valuable and enjoyable tool at their disposal.""")
+
+    def submit_to_endpoint(model_name, revision_name, model_type, hw_type, terms, precision, weight_type, training_infra, affiliation, base_model):
+        # Construct the data payload to send
+        data = {
+            "model_name": model_name,
+            "revision_name": revision_name,
+            "model_type": model_type,
+            "hw_type": hw_type,
+            "terms": terms,
+            "precision": precision,
+            "weight_type": weight_type,
+            "training_infrastructure": training_infra,
+            "affiliation": affiliation,
+            "base_model": base_model
+        }
+        
+        # URL of the endpoint expecting the HTTP request
+        url = submission_form_endpoint_url
+        
+        try:
+            response = requests.post(url, json=data)
+            if response.status_code == 200:
+                return "Submission successful!"
+            else:
+                return f"Submission failed with status code {response.status_code}"
+        except Exception as e:
+            return f"Failed to submit due to an error: {str(e)}"
     
     with gr.Accordion("Chat with Top Models on the Leaderboard Here 💬", open=False):
         
@@ -210,7 +238,12 @@ with demo:
                         interactive=True,
                     )
                     submit_button = gr.Button("🤗 Submit Eval 💻")
-                    submission_result = gr.Markdown()
+                    submission_result = gr.Markdown(submission_result)
+                    submit_button.click(
+                        fn=submit_to_endpoint,
+                        inputs=[model_name_textbox, revision_name_textbox, model_type, hw_type, terms, precision, weight_type, training_infra, affiliation, base_model_name_textbox],
+                        outputs=submission_result
+                    )
                 with gr.Column():
                     precision = gr.Dropdown(
                         choices=["fp32","fp16","bf16","int8","fp8", "int4"],
@@ -247,7 +280,7 @@ with demo:
                     )
                     base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
                 
-           # gr.Markdown("Community Submissions Coming soon!")
+           
             
     with gr.Accordion("📙 Citation", open=False):
             citation =gr.Textbox(value = CITATION_TEXT,