Create app.py

app.py

@@ -0,0 +1,60 @@
+import gradio as gr
+import os
+import requests
+
+def convert_to_cpp(python_code):
+    # This grabs the key from the secret safe
+    api_key = os.getenv("GROQ_API_KEY")
+    
+    if not api_key:
+        return "// Error: API Key is missing. Check Settings!"
+    
+    if not python_code.strip():
+        return "// Error: Please type some Python code."
+
+    # Talking to the Smart AI
+    url = "https://api.groq.com/openai/v1/chat/completions"
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json"
+    }
+    
+    # Telling the AI to be a C++ Expert
+    system_prompt = """You are an expert C++20 developer. 
+    Convert this Python code to efficient C++.
+    Add comments. Do NOT use markdown ticks."""
+
+    data = {
+        "model": "llama3-8b-8192", 
+        "messages": [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": python_code}
+        ],
+        "temperature": 0.2
+    }
+    
+    try:
+        response = requests.post(url, json=data, headers=headers)
+        if response.status_code != 200:
+            return f"// API Error: {response.text}"
+        return response.json()['choices'][0]['message']['content']
+    except Exception as e:
+        return f"// Connection Error: {str(e)}"
+
+# The Visual Part (The Screen)
+with gr.Blocks(theme=gr.themes.Soft()) as app:
+    gr.Markdown("# 🐍 Python to ⚡ C++ Converter")
+    gr.Markdown("Transform slow Python scripts into fast C++ code.")
+    
+    with gr.Row():
+        with gr.Column():
+            py_input = gr.Code(language="python", label="Paste Python Here", lines=15)
+            convert_btn = gr.Button("Convert 🚀", variant="primary")
+            
+        with gr.Column():
+            cpp_output = gr.Code(language="cpp", label="C++ Result", lines=15, interactive=False)
+            
+    convert_btn.click(fn=convert_to_cpp, inputs=py_input, outputs=cpp_output)
+
+if __name__ == "__main__":
+    app.launch()