Update agent.py

agent.py

@@ -24,13 +24,14 @@ load_dotenv()
 # Ensure that your HF_TOKEN is available as an environment variable
 # If using a specific endpoint, verify it's correct.
 
-print(f"DEBUG: HF_TOKEN value loaded: {'***' if os.getenv('HF_TOKEN') else 'None'}. Length: {len(os.getenv('HF_TOKEN')) if os.getenv('HF_TOKEN') else 'None'}")
+#print(f"DEBUG: HF_TOKEN value loaded: {'***' if os.getenv('HF_TOKEN') else 'None'}. Length: {len(os.getenv('HF_TOKEN')) if os.getenv('HF_TOKEN') else 'None'}")
 llm = HuggingFaceEndpoint(
-    #endpoint_url="https://api-inference.huggingface.co/models/Meta-DeepLearning/llama-2-7b-chat-hf",
-    endpoint_url="https://api-inference.huggingface.co/models/meta-llama/Llama-2-7b-chat-hf",
+    #endpoint_url="https://api-inference.huggingface.co/models/Meta-DeepLearning/llama-2-7b-chat-hf", VIEJO
+    #endpoint_url="https://api-inference.huggingface.co/models/meta-llama/Llama-2-7b-chat-hf",
     #endpoint_url="https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2",
     #endpoint_url="https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta",
-    huggingfacehub_api_token=os.getenv("HF_TOKEN"), # Si tu HF_TOKEN no se está cargando automáticamente, puedes añadirlo aquí:
+    endpoint_url="https://api-inference.huggingface.co/models/google/flan-t5-small",
+    #huggingfacehub_api_token=os.getenv("HF_TOKEN"), # Si tu HF_TOKEN no se está cargando automáticamente, puedes añadirlo aquí:
     temperature=0.01, # Keep a low temperature for consistent tool-use decisions
 )