Update app.py

app.py

@@ -17,11 +17,12 @@ from textwrap import dedent
 
 HF_TOKEN = os.environ.get("HF_TOKEN")
 OLLAMA_USERNAME = os.environ.get("OLLAMA_USERNAME").lower()
-ollama_pubkey = open("/home/user/.ollama/id_ed25519.pub", "r")
+ollama_pubkey = open(f"{HOME}/.ollama/id_ed25519.pub", "r")
 
-def process_model(model_id, ollamafy, ollama_q_method, latest, maintainer, oauth_token: gr.OAuthToken | None):
+def ollamafy_model(model_id, ollamafy, ollama_q_method, latest, maintainer, oauth_token: gr.OAuthToken | None):
     if oauth_token.token is None:
         raise ValueError("You must be logged in to use GGUF-my-repo")
+        
     model_name = model_id.split('/')[-1]
     fp16 = f"{model_name}-fp16.gguf"
 
@@ -162,8 +163,8 @@ with gr.Blocks(css=css) as demo:
 
     ollama_q_method = gr.Dropdown(
         ["FP16", "Q3_K_S", "Q3_K_M", "Q3_K_L", "Q4_0", "Q4_1", "Q4_K_S", "Q4_K_M", "Q5_0", "Q5_1", "Q5_K_S", "Q5_K_M", "Q6_K", "Q8_0"],
-        label="Ollama Lastest Quantization Method",
-        info="Chose which quantization will be labled with the latest tag in the Ollama Library",
+        label="Ollama Quantization Method",
+        info="Chose which quantization will created and exported to the Ollama Library",
         value="FP16", 
         filterable=False,
         visible=False
@@ -172,17 +173,18 @@ with gr.Blocks(css=css) as demo:
     latest = gr.Checkbox(
         value=False,
         label="Latest",
-        info="Copy Model to Ollama Library with the :latest tag"
+        info="Push Model to the Ollama Library with the :latest tag"
     )
     
     maintainer = gr.Checkbox(
         value=False,
         label="Maintainer",
-        info="This is your original repository on both Hugging Face and Ollama. DO NOT USE Unless same USERNAME on both platforms!!!"
+        info="This is your original repository on both Hugging Face and Ollama. 
+        DO NOT USE unless using the same USERNAME on both platforms."
     )
     
     iface = gr.Interface(
-        fn=process_model,
+        fn=ollamafy_model,
         inputs=[
             model_id,
             ollama_q_method,