from transformers import pipeline, CLIPProcessor, CLIPModel
from PIL import Image

class MultiModalHandler:
    """Handles text, image, and audio inputs for AI agents."""

    def __init__(self):
        # Text generation model
        self.text_pipeline = pipeline("text-generation", model="gpt2")

        # Image processing model (CLIP)
        self.clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
        self.clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")

    def process_text(self, prompt):
        """Generate text output from a given prompt."""
        return self.text_pipeline(prompt, max_length=50)[0]["generated_text"]

    def process_image(self, image_path, text_prompts):
        """Analyze an image and match it to given text prompts."""
        image = Image.open(image_path)
        inputs = self.clip_processor(text=text_prompts, images=image, return_tensors="pt", padding=True)
        outputs = self.clip_model(**inputs)
        logits_per_text = outputs.logits_per_text
        return logits_per_text.softmax(dim=1).tolist()

    def process_audio(self, audio_path):
        """Process audio (placeholder for future audio handling)."""
        # You can use libraries like torchaudio or OpenAI's Whisper
        raise NotImplementedError("Audio processing not yet implemented.")