Update app104.py

app104.py

@@ -17,33 +17,33 @@ warnings.filterwarnings('ignore')
 os.getenv("OAUTH_CLIENT_ID")
 
 
-# # Load environment variables and initialize the OpenAI client to use Hugging Face Inference API.
-# load_dotenv()
-# client = OpenAI(
-#     base_url="https://api-inference.huggingface.co/v1",
-#     api_key=os.environ.get('TOKEN2') # Hugging Face API token
-# )
+# Load environment variables and initialize the OpenAI client to use Hugging Face Inference API.
+load_dotenv()
+client = OpenAI(
+    base_url="https://api-inference.huggingface.co/v1",
+    api_key=os.environ.get('TOKEN2') # Hugging Face API token
+)
 
 ####new
-from openai import OpenAI
+# from openai import OpenAI
 
-client = OpenAI(
-    base_url="https://router.huggingface.co/together/v1",
-    api_key=os.environ.get('TOKEN2'),
-)
+# client = OpenAI(
+#     base_url="https://router.huggingface.co/together/v1",
+#     api_key=os.environ.get('TOKEN2'),
+# )
 
-completion = client.chat.completions.create(
-    model="meta-llama/Meta-Llama-3-8B-Instruct-Turbo",
-    messages=[
-        {
-            "role": "user",
-            "content": "What is the capital of France?"
-        }
-    ],
-    max_tokens=512,
-)
+# completion = client.chat.completions.create(
+#     model="meta-llama/Meta-Llama-3-8B-Instruct-Turbo",
+#     messages=[
+#         {
+#             "role": "user",
+#             "content": "What is the capital of France?"
+#         }
+#     ],
+#     max_tokens=512,
+# )
 
-print(completion.choices[0].message)
+# print(completion.choices[0].message)
 #####
 
 # Create necessary directories