Update app.py

app.py

@@ -4,17 +4,17 @@ import requests
 
 processed_inputs = {}
 
-def process_inputs(model_id, q_method, email, oauth_token: gr.OAuthToken | None, profile: gr.OAuthProfile | None):
+def process_inputs(markdown, model_id, q_method, email, oauth_token: gr.OAuthToken | None, profile: gr.OAuthProfile | None):
     if oauth_token is None or oauth_token.token is None or profile.username is None:
-        return "You must be logged in to use this service."
+        return "##### You must be logged in to use this service."
 
     if not model_id or not q_method or not email:
-        return "All fields are required!"
+        return "##### All fields are required!"
     
     input_hash = hash((model_id, q_method, oauth_token.token, profile.username))
 
     if input_hash in processed_inputs and processed_inputs[input_hash] == 200:
-        return "This request has already been submitted successfully. Please do not submit the same request multiple times."
+        return "##### This request has already been submitted successfully. Please do not submit the same request multiple times."
 
     url = "https://sdk.nexa4ai.com/task"
 
@@ -30,14 +30,15 @@ def process_inputs(model_id, q_method, email, oauth_token: gr.OAuthToken | None,
     
     if response.status_code == 200:
         processed_inputs[input_hash] = 200  
-        return "Your request has been submitted successfully. We will notify you by email once processing is complete. There is no need to submit the same request multiple times."
+        return "##### Your request has been submitted successfully. We will notify you by email once processing is complete. There is no need to submit the same request multiple times."
     else:
         processed_inputs[input_hash] = response.status_code 
-        return f"Failed to submit request: {response.text}"
+        return f"##### Failed to submit request: {response.text}"
 
 iface = gr.Interface(
     fn=process_inputs,
     inputs=[
+        gr.Markdown(value="##### You must grant access to the model repository before use."),
         HuggingfaceHubSearch(
             label="Hub Model ID",
             placeholder="Search for model id on Huggingface",
@@ -52,14 +53,17 @@ iface = gr.Interface(
         ),
         gr.Textbox(label="Email", placeholder="Enter your email here")
     ],
-    outputs=gr.Markdown(label="output", value="Please enter the model URL, select a quantization method, and provide your email address.",),
+    outputs = gr.Markdown(
+        label="output", 
+        value="##### Please enter the model URL, select a quantization method, and provide your email address."
+    ),
     title="Create your own GGUF Quants, blazingly fast ⚡!",
     allow_flagging="never"
 )
 
-theme = gr.themes.Base()
+theme = gr.themes.Base(text_size="lg")
 with gr.Blocks(theme=theme) as demo:
-    gr.Markdown("You must be logged in to use this service.")
+    gr.Markdown(value="### You must be logged in to use this service.")
     gr.LoginButton(min_width=250)
     iface.render()