Create App.py

App.py

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+import gradio as gr
+from gradio_huggingfacehub_search import HuggingfaceHubSearch
+import requests
+
+
+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 profile is None or oauth_token.token is None or profile.username is None:
+        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!"
+    
+    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 "### Oops! 😲 Looks like you've already submitted this task 🚀. Please hang tight! We'll send you an email with all the details once it's ready 💌. Thanks for your patience! 😊"
+
+    url = "https://sdk.nexa4ai.com/task"
+
+    data = {
+        "repository_url": f"https://huggingface.co/{model_id}",
+        "username": profile.username,
+        "access_token": oauth_token.token,
+        "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'll notify you by email 📧 once everything is processed. 😊"
+    else:
+        processed_inputs[input_hash] = response.status_code 
+        return f"### Failed to submit request: {response.text}"
+
+iface = gr.Interface(
+    fn=process_inputs,
+    inputs=[
+        HuggingfaceHubSearch(
+            label="Hub Model ID",
+            placeholder="Search for model id on Huggingface",
+            search_type="model",
+        ),
+        gr.Dropdown(
+            ["q2_K", "q3_K", "q3_K_S", "q3_K_M", "q3_K_L", "q4_0", "q4_1", "q4_K", "q4_K_S", "q4_K_M", "q5_0", "q5_1", "q5_K", "q5_K_S", "q5_K_M", "q6_K", "q8_0", "f16"],
+            label="Quantization Option",
+            info="GGML quantisation options",
+            value="q4_0",
+            filterable=False
+        ),
+        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."
+    ),
+    allow_flagging="never"
+)
+
+theme = gr.themes.Soft(text_size="lg", spacing_size="lg")
+with gr.Blocks(theme=theme) as demo:
+    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), [David](https://huggingface.co/Davidqian123), for their extraordinary contributions to this GGUF converter project.")
+
+demo.launch(share=True)