Update app.py

app.py

@@ -3,57 +3,78 @@ import os
 import requests
 
 def convert_to_cpp(python_code):
-    # This grabs the key from the secret safe
+    # 1. Get the API Key securely
     api_key = os.getenv("GROQ_API_KEY")
     
     if not api_key:
-        return "// Error: API Key is missing. Check Settings!"
+        return "// Error: API Key is missing. Please check your Settings!"
     
     if not python_code.strip():
-        return "// Error: Please type some Python code."
+        return "// Error: Please enter some Python code first."
 
-    # Talking to the Smart AI
+    # 2. Setup the "Senior Developer" Persona
     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
+    # We instruct the AI to ONLY return code, no chatting.
     system_prompt = """You are an expert C++20 developer. 
-    Convert this Python code to efficient C++.
-    Add comments. Do NOT use markdown ticks."""
+    Your task is to convert Python code into highly efficient, modern C++.
+    - Use standard libraries (std::vector, std::string) where possible.
+    - Include necessary headers (#include <iostream>, etc).
+    - Add brief comments explaining complex translations.
+    - Do NOT output markdown ticks (```cpp). Just output the raw code.
+    """
 
     data = {
-        "model": "llama3-8b-8192", 
+        # --- THE FIX IS HERE: UPDATED MODEL NAME ---
+        "model": "llama-3.1-8b-instant", 
+        # -------------------------------------------
         "messages": [
             {"role": "system", "content": system_prompt},
             {"role": "user", "content": python_code}
         ],
-        "temperature": 0.2
+        "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)
+# 3. Build the Professional UI
 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.")
+    gr.Markdown("Transform slow Python scripts into high-performance C++ code using Llama 3.1.")
     
     with gr.Row():
+        # Left side: Python Input
         with gr.Column():
-            py_input = gr.Code(language="python", label="Paste Python Here", lines=15)
-            convert_btn = gr.Button("Convert 🚀", variant="primary")
+            py_input = gr.Code(
+                language="python", 
+                label="Paste Python Code Here", 
+                lines=15
+            )
+            convert_btn = gr.Button("Convert to C++ 🚀", variant="primary")
             
+        # Right side: C++ Output
         with gr.Column():
-            cpp_output = gr.Code(language="cpp", label="C++ Result", lines=15, interactive=False)
+            cpp_output = gr.Code(
+                language="cpp", 
+                label="C++ Result", 
+                lines=15,
+                interactive=False # User can copy but not edit
+            )
             
+    # Connect the button
     convert_btn.click(fn=convert_to_cpp, inputs=py_input, outputs=cpp_output)
 
 if __name__ == "__main__":