Fix app for HF Space deployment: update model in README, fix logging, remove unused litellm, remove verification script

README.md

@@ -18,7 +18,7 @@ This Hugging Face Space hosts SmolMCP, a powerful AI agent capable of using othe
 
 *   **Framework:** Gradio
 *   **Agent:** Hugging Face SmolAgent (CodeAgent)
-*   **Model:** GLM4.6 (or other models supported by LiteLLM)
+*   **Model:** Qwen/Qwen2.5-Coder-32B-Instruct
 *   **Infrastructure:** Hugging Face ZeroGPU
 
-This project is built by Jules, your AI software engineer.
+This project is built by Jules, your AI software engineer.

app.py

@@ -6,13 +6,13 @@ from smolagents import CodeAgent, WebSearchTool, InferenceClientModel
 from hf_tools import SearchHfSpacesTool, CallHfSpaceApiTool
 
 # Set up logging
-logging.basicConfig(filename='app_detailed.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logging.basicConfig(filename='app.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 logging.info("Application starting...")
 
 try:
     # --- Agent Configuration ---
 
-# 1. Set up the model
+    # 1. Set up the model
 # We will use the Hugging Face Inference API.
 # The user needs to set the HUGGING_FACE_HUB_TOKEN in the Space's secrets.
 model = InferenceClientModel(
@@ -30,7 +30,7 @@ agent = CodeAgent(
     # stream_outputs=True, # Streaming is not yet supported in this Gradio setup
 )
 
-# --- Gradio Interface ---
+    # --- Gradio Interface ---
 
 @spaces.GPU
 def run_agent(prompt):
@@ -46,15 +46,15 @@ def run_agent(prompt):
         return f"An error occurred: {e}"
 
 # Define the Gradio interface
-iface = gr.Interface(
-    fn=run_agent,
-    inputs=gr.Textbox(lines=4, label="Your Prompt", placeholder="Enter your request for the agent..."),
-    outputs=gr.Markdown(label="Agent's Response"),
-    title="SmolMCP: A Hugging Face Agent",
-    description="This agent can use tools to answer your questions. Enter your Hugging Face Hub token in the settings to allow the agent to use Hugging Face tools.",
-)
+    iface = gr.Interface(
+        fn=run_agent,
+        inputs=gr.Textbox(lines=4, label="Your Prompt", placeholder="Enter your request for the agent..."),
+        outputs=gr.Markdown(label="Agent's Response"),
+        title="SmolMCP: A Hugging Face Agent",
+        description="This agent can use tools to answer your questions. Enter your Hugging Face Hub token in the settings to allow the agent to use Hugging Face tools.",
+    )
 
-# Launch the Gradio app
+    # Launch the Gradio app
     logging.info("Launching Gradio app...")
     iface.launch()
     logging.info("Gradio app launched.")
@@ -62,4 +62,4 @@ iface = gr.Interface(
 except Exception as e:
     logging.error(f"An unhandled exception occurred during setup: {e}", exc_info=True)
     # Also print to stderr so it's visible if the app is run in the foreground
-    print(f"An unhandled exception occurred during setup: {e}")
+    print(f"An unhandled exception occurred during setup: {e}")

jules-scratch/verification/verify_app.py

@@ -1,11 +0,0 @@
-from playwright.sync_api import sync_playwright
-
-def run(playwright):
-    browser = playwright.chromium.launch()
-    page = browser.new_page()
-    page.goto("http://localhost:7860")
-    page.screenshot(path="jules-scratch/verification/verification.png")
-    browser.close()
-
-with sync_playwright() as playwright:
-    run(playwright)

requirements.txt

@@ -1,8 +1,7 @@
 gradio
 smolagents
 huggingface_hub
-litellm
 lxml
 beautifulsoup4
 spaces
-transformers
+transformers