update

app.py

@@ -8,7 +8,7 @@ import time
 import shutil
 
 from openai import OpenAI
-from smolagents import CodeAgent, MCPClient, tool, HfApiModel
+from smolagents import CodeAgent, MCPClient, tool
 from huggingface_hub import InferenceClient  # still imported if you need it elsewhere
 from moviepy.editor import VideoFileClip, ImageClip, CompositeVideoClip, AudioFileClip
 from PIL import Image, ImageDraw, ImageFont
@@ -349,13 +349,24 @@ def create_quote_video_tool(video_url: str, quote_text: str, output_path: str, a
 def initialize_agent():
     """Initialize the CodeAgent with MCP capabilities"""
     try:
-        # Use Hugging Face API model via HfApiModel
+        # Use Hugging Face Inference API for the agent's LLM
         hf_token = os.getenv("HF_TOKEN")
-        model_id = os.getenv("HF_MODEL_ID", "meta-llama/Llama-3.3-70B-Instruct")
-        model = HfApiModel(model_id=model_id, token=hf_token)
+        # If you have a specific model, you can set HF_MODEL_ID in your Space secrets
+        hf_model_id = os.getenv("HF_MODEL_ID")  # e.g. "mistralai/Mixtral-8x7B-Instruct-v0.1"
+        
+        if hf_model_id:
+            model = InferenceClient(model=hf_model_id, token=hf_token)
+        else:
+            # Fallback: rely on default model configured on the Space / org
+            model = InferenceClient(token=hf_token)
         
         agent = CodeAgent(
-            tools=[generate_quote_tool, search_pexels_video_tool, generate_voice_commentary_tool, create_quote_video_tool],
+            tools=[
+                generate_quote_tool,
+                search_pexels_video_tool,
+                generate_voice_commentary_tool,
+                create_quote_video_tool,
+            ],
             model=model,
             additional_authorized_imports=[
                 "requests",
@@ -364,9 +375,9 @@ def initialize_agent():
                 "tempfile",
                 "os",
                 "google.generativeai",
-                "json"
+                "json",
             ],
-            max_steps=15
+            max_steps=15,
         )
         
         if mcp_enabled: