update: submit file

src/submission/submit.py

@@ -1,11 +1,11 @@
 import json
 import os
 from datetime import datetime, timezone
-import gradio as gr
 
 from src.display.formatting import styled_error, styled_message
 from src.envs import API, EVAL_REQUESTS_PATH, QUEUE_REPO
 
+
 def add_new_eval(model: str, weight_type: str, gguf_filename=None):
     user_name = ""
     model_path = model
@@ -21,8 +21,8 @@ def add_new_eval(model: str, weight_type: str, gguf_filename=None):
     except Exception:
         return styled_error("Could not get your model information.")
     
-    if weight_type == "safetensors":
-        if len(gguf_filename) != 0:
+    if weight_type=="safetensors":
+        if len(gguf_filename)!=0:
             return styled_error("GGUF filename should be empty when using safetensors.")
 
     # Seems good, creating the eval
@@ -59,30 +59,3 @@ def add_new_eval(model: str, weight_type: str, gguf_filename=None):
     return styled_message(
         "Your request has been submitted to the evaluation queue!\nPlease wait for up to five minutes for the model to show in the PENDING list."
     )
-
-def update_gguf_input(weight_type):
-    return gr.update(interactive=weight_type != "safetensors")
-
-
-with gr.Blocks() as app:
-    model_input = gr.Textbox(label="Model")
-    weight_type_input = gr.Dropdown(
-        label="Weight Type",
-        choices=["default", "safetensors", "other"],
-        value="default",
-        interactive=True
-    )
-    gguf_filename_input = gr.Textbox(label="GGUF Filename", interactive=True)
-    submit_btn = gr.Button("Submit")
-    output = gr.Markdown()
-
-    # Update gguf_filename input based on weight_type selection
-    weight_type_input.change(fn=update_gguf_input, inputs=weight_type_input, outputs=gguf_filename_input)
-
-    submit_btn.click(
-        fn=add_new_eval,
-        inputs=[model_input, weight_type_input, gguf_filename_input],
-        outputs=output
-    )
-
-# app.launch()