Update core_creator/code_generator.py

core_creator/code_generator.py

@@ -0,0 +1,50 @@
+# code_generator.py - Turns app blueprint into executable Python code using OpenAI
+
+from openai import OpenAI
+import json
+
+def generate_app_code(blueprint: dict) -> str:
+    base_prompt = f"""
+    You are an expert Python developer and Gradio engineer.
+    Generate a Hugging Face-ready app that does the following:
+
+    Title: {blueprint.get("title")}
+    Description: {blueprint.get("description")}
+
+    Inputs: {blueprint.get("inputs")}
+    Outputs: {blueprint.get("outputs")}
+    Voice Commands: {blueprint.get("voice_commands")}
+
+    Requirements:
+    - Use Gradio Blocks.
+    - Accept user voice or text input.
+    - Use placeholder code for hardware control (e.g., robot.move_arm()).
+    - Print logs for each user command detected.
+    - Keep it in a single Python file.
+    - Wrap robot behavior in a function named `robot_behavior()`.
+    - Return only the Python code, no extra explanation.
+    """
+
+    response = OpenAI().chat.completions.create(
+        model="gpt-4o",
+        messages=[
+            {"role": "system", "content": "You write production-quality Hugging Face Spaces code."},
+            {"role": "user", "content": base_prompt},
+        ],
+        temperature=0.3
+    )
+
+    return response.choices[0].message.content.strip()
+
+# Example
+if __name__ == "__main__":
+    sample_blueprint = {
+        "title": "WaveBot",
+        "description": "A robot that waves and greets customers.",
+        "inputs": ["camera", "microphone"],
+        "outputs": ["arm wave", "voice greeting"],
+        "voice_commands": ["hello", "hi", "good morning"],
+        "monetization": ["Retail subscription", "Affiliate for motion sensors"]
+    }
+    code = generate_app_code(sample_blueprint)
+    print(code[:1000])