Create app.py

app.py

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+import gradio as gr
+from transformers import CLIPProcessor, CLIPModel
+from PIL import Image
+import torch
+
+# Load a pre-trained CLIP model and processor from Hugging Face
+model_name = "openai/clip-vit-base-patch32"
+model = CLIPModel.from_pretrained(model_name)
+processor = CLIPProcessor.from_pretrained(model_name)
+
+# Load the image (Gradio handles this as part of the interface)
+def process_image(image):
+    """Prepares the image for the model and extracts features."""
+    inputs = processor(images=image, return_tensors="pt")
+    with torch.no_grad():
+        features = model.get_image_features(**inputs)
+    return features
+
+# Generate a basic persona based on the features
+def generate_persona(image):
+    """Generates a persona based on the extracted features."""
+    features = process_image(image)
+
+    # Example: Generating hardcoded persona traits for now, could be improved with actual inference logic
+    persona = {
+        "Age": "25-35 years",
+        "Gender": "Likely Female",
+        "Interests": ["Fashion", "Modern Lifestyle", "Technology"],
+        "Income Level": "Medium to High",
+        "Psychographics": ["Trend-conscious", "Tech-savvy", "Health-aware"],
+        "Behavioral Traits": ["Likes social media", "Follows influencers", "Shops online frequently"]
+    }
+
+    return persona
+
+# Function to format the persona output as a string
+def format_persona(persona):
+    """Formats the persona for display in Gradio."""
+    result = "\n".join([f"{key}: {value}" for key, value in persona.items()])
+    return result
+
+# Gradio interface for image input and persona output
+def persona_analysis(image):
+    """Takes an image and returns the inferred persona."""
+    persona = generate_persona(image)
+    return format_persona(persona)
+
+# Build the Gradio interface
+iface = gr.Interface(
+    fn=persona_analysis, 
+    inputs=gr.inputs.Image(type="pil"),  # Accept image input in PIL format
+    outputs="text",  # Display persona as text output
+    title="Marketing Persona Generator",
+    description="Upload an image to generate a marketing persona."
+)
+
+# Launch the Gradio interface
+iface.launch()