Captcha update

app.py

@@ -316,49 +316,23 @@ with demo:
 
             with gr.Row():
                 with gr.Column():
-                    model_name_textbox = gr.Textbox(label="Model name")
-                    #precision = gr.Radio(["bfloat16", "float16", "4bit"], label="Precision", info="What precision are you using for inference?")
-                    precision = gr.Dropdown(
-                        choices=[i.value.name for i in Precision if i != Precision.Unknown],
-                        label="Precision",
-                        multiselect=False,
-                        value="other",
-                        interactive=True,
-                        info="What weight precision were you using during the evaluation?"
-                    )
-                    hf_model_id = gr.Textbox(label="Model link (Optional)", info="URL to the model's Hugging Face repository, or it's official website")
-                    contact_email = gr.Textbox(label="Your E-Mail")
-                    file_output = gr.File()
-                    upload_button = gr.UploadButton("Upload json", file_types=['.json'])
-                    upload_button.upload(validate_upload, upload_button, file_output)
-                    """
-                    revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
-                    model_type = gr.Dropdown(
-                        choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
-                        label="Model type",
-                        multiselect=False,
-                        value=None,
-                        interactive=True,
-                    )
-                    """
-                    """
-                    with gr.Column():
+                    with gr.Group():
+                        model_name_textbox = gr.Textbox(label="Model name")
+                        #precision = gr.Radio(["bfloat16", "float16", "4bit"], label="Precision", info="What precision are you using for inference?")
                         precision = gr.Dropdown(
                             choices=[i.value.name for i in Precision if i != Precision.Unknown],
                             label="Precision",
                             multiselect=False,
-                            value="float16",
+                            value="other",
                             interactive=True,
+                            info="What weight precision were you using during the evaluation?"
                         )
-                        weight_type = gr.Dropdown(
-                            choices=[i.value.name for i in WeightType],
-                            label="Weights type",
-                            multiselect=False,
-                            value="Original",
-                            interactive=True,
-                        )
-                        base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
-                    """
+                        hf_model_id = gr.Textbox(label="Model link (Optional)", info="URL to the model's Hugging Face repository, or it's official website")
+                        contact_email = gr.Textbox(label="Your E-Mail")
+                        file_output = gr.File()
+                        upload_button = gr.UploadButton("Upload json", file_types=['.json'])
+                        upload_button.upload(validate_upload, upload_button, file_output)
+
                     with gr.Group():
                         image, text = generate_captcha()
                         captcha_img = gr.Image(
@@ -368,7 +342,7 @@ with demo:
                             show_fullscreen_button=False,
                             show_share_button=False,
                         )
-                        captcha_input = gr.Textbox(placeholder="Enter the text in the image above")
+                        captcha_input = gr.Textbox(placeholder="Enter the text in the image above", show_label=False, container=False)
                         submit_button = gr.Button("Submit Eval", interactive=True)
                         submission_result = gr.Markdown()
                         submit_button.click(