Update app.py

app.py

@@ -2,19 +2,19 @@ import gradio as gr
 from gradio_huggingfacehub_search import HuggingfaceHubSearch
 import requests
 
-processed_inputs = {}
 
-def process_inputs(markdown, model_id, q_method, email, oauth_token: gr.OAuthToken | None, profile: gr.OAuthProfile | None):
+processed_inputs = {}
+def process_inputs(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"
 
@@ -25,20 +25,29 @@ def process_inputs(markdown, model_id, q_method, email, oauth_token: gr.OAuthTok
         "email": email,
         "quantization_option": q_method,
     }
-    
+    """
+        # OAuth Token Information:
+        # - This is an OAuth token, not a user's password.
+        # - We need the OAuth token to clone the related repository and access its contents.
+        # - As mentioned in the README.md, only read permission is requested, which includes:
+        #   - Read access to your public profile
+        #   - Read access to the content of all your public repos
+        # - The token expires after 60 minutes.
+        # - For more information about OAuth, please refer to the official documentation:
+        #   https://huggingface.co/docs/hub/en/spaces-oauth
+    """  
     response = requests.post(url, json=data)
     
     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",
@@ -55,17 +64,20 @@ iface = gr.Interface(
     ],
     outputs = gr.Markdown(
         label="output", 
-        value="##### Please enter the model URL, select a quantization method, and provide your email address."
+        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(text_size="lg")
+theme = gr.themes.Soft(text_size="lg", spacing_size="lg")
 with gr.Blocks(theme=theme) as demo:
-    gr.Markdown(value="### 🔔   You must be logged in to use this service.")
-    gr.LoginButton(min_width=250)
+    with gr.Row(variant="panel'"):
+        gr.Markdown(value="## 🚀 Unleash the Power of Custom GGML Quantized Models! ⚡"),
+        gr.LoginButton(min_width=380)
+
+    gr.Markdown(value="🚨 **IMPORTANT:** You **MUST** grant access to the model repository before use.")
+    gr.Markdown(value="🔔 You **MUST** be logged in to use this service.")
     iface.render()
-    gr.Markdown(value="We sincerely thank our community members, [Perry](https://huggingface.co/PerryCheng614), [Brian](https://huggingface.co/JoyboyBrian), [Qi](https://huggingface.co/qiqiWav), for their extraordinary contributions to this GGUF converter project.")
+    gr.Markdown(value="We sincerely thank our community members, [Perry](https://huggingface.co/PerryCheng614), [Brian](https://huggingface.co/JoyboyBrian), [Qi](https://huggingface.co/qiqiWav), [David](https://huggingface.co/Davidqian123), for their extraordinary contributions to this GGUF converter project.")
 
-demo.launch(share=True)
+demo.launch(share=True)