Update app.py

app.py

@@ -1,4 +1,6 @@
 import os
+from dotenv import load_dotenv
+load_dotenv()
 import gradio as gr
 import requests
 import inspect
@@ -86,7 +88,7 @@ image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_co
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
-        os.environ["OPENAI_API_KEY"] = "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" 
+        token = os.environ["HF_TOKEN"]  # Set your Hugging Face token in the environment
         self.system_prompt= """You are a helpful assistant. You will answer questions based on the provided context.You will always return a valid answer, even if the question is not clear or the context is insufficient. If you cannot answer, return a default answer.Always return a valid answer after validating the source.
         Always return the answer in the following format:
         "ANSWER: <your answer here>".
@@ -140,11 +142,12 @@ class BasicAgent:
         If you are not able to find the answer using the tools privided, you can use the web_search tool.
         If you are given a task to create an image,you can use the image_generation_tool.
         """
+        
         model = InferenceClientModel(
-            model_id="gpt-4.5-preview",
-            token=os.environ["OPENAI_API_KEY"],
-            provider="openai"
-        )
+    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
+    token=token,  # Set your Hugging Face token in the environment
+    provider="huggingface"
+)
         self.agent= CodeAgent(
             tools = [add, subtract, multiply, divide, web_search, image_generation_tool],
             model=model,