Update app.py

app.py

@@ -14,8 +14,9 @@ _ = load_dotenv(find_dotenv())  # read local .env file
 hf_api_key = os.environ["HF_API_KEY"]
 
 
-# --- Endpoint URLs ---
-endpoint_base_url = "https://api-inference.huggingface.co/models/"
+# --- URLs and Endpoints ---
+hf_base_url = "https://huggingface.co/"
+hf_inference_base_url = "https://api-inference.huggingface.co/models/"
 
 endpoints = [
     "Salesforce/blip-image-captioning-large",
@@ -44,7 +45,7 @@ def get_completion(inputs, parameters=None):
     for endpoint in endpoints:
         try:
             response = requests.post(
-                endpoint_base_url + endpoint,
+                hf_inference_base_url + endpoint,
                 headers=headers,
                 data=json.dumps(data),
             )
@@ -72,9 +73,9 @@ def captioner(image):
     captions = []
     for endpoint, result in results.items():
         if "error" not in result:
-            caption = (f"### [{endpoint}]({endpoint_base_url+endpoint}): \n {result[0]['generated_text']} \n {"-" * 50} \n ")
+            caption = (f"### [{endpoint}]({hf_base_url+endpoint}): \n {result[0]['generated_text']} \n {"-" * 50} \n ")
         else:
-            caption = f"### [{endpoint}]({endpoint_base_url+endpoint}): \n Error - {result['error']} \n {"-" * 50} \n "
+            caption = f"### [{endpoint}]({hf_base_url+endpoint}): \n Error - {result['error']} \n {"-" * 50} \n "
         captions.append(caption)
     return "".join(captions)  # Join all captions into a single string