Create app.py

app.py

@@ -0,0 +1,114 @@
+import os
+import base64
+import io
+from PIL import Image
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+from gradio_client import Client, handle_file
+import openai
+
+app = Flask(__name__)
+CORS(app)
+
+# Initialize CLIP Interrogator client
+clipi_client = Client("https://fffiloni-clip-interrogator-2.hf.space/")
+
+# Initialize LLM7 client
+client = openai.OpenAI(
+    base_url="https://api.llm7.io/v1",
+    api_key=os.environ.get("LLM7_API_KEY", "unused")  # Use a free key or environment variable
+)
+
+def get_image_description(image_path):
+    """Get image description using CLIP Interrogator"""
+    try:
+        print("Calling CLIP Interrogator...")
+        result = clipi_client.predict(
+            image=handle_file(image_path),
+            mode="best",
+            best_max_flavors=4,
+            api_name="/clipi2"
+        )
+        print(f"CLIP description: {result}")
+        return result
+    except Exception as e:
+        print(f"Error in get_image_description: {e}")
+        return "a simple drawing"
+
+def get_first_description(description):
+    """Get only the first item from a comma-separated CLIP description"""
+    items = [item.strip() for item in description.split(",")]
+    return items[0] if items else description.strip()
+
+def generate_story(description, audience="Children"):
+    """Generate a kid-friendly story using GPT-5-Chat on LLM7 API"""
+    first_desc = get_first_description(description)
+prompt = (
+    f"Write a short, imaginative story for {audience} inspired by: {first_desc}. "
+    f"Begin with a fresh and creative setting — it can be anywhere, not always sunny or in the afternoon. "
+    f"Include fun and different characters, not just one name, and fill the story with adventure, surprise, or gentle magic that sparks imagination. "
+    f"Write only 3 paragraphs."
+    f"Do NOT add extra questions, suggestions, or prompts at the end."
+)
+
+    print("Generating story with GPT-5-Chat...")
+    try:
+        response = client.chat.completions.create(
+            model="gpt-5-chat",
+            messages=[{"role": "user", "content": prompt}],
+            temperature=0.8
+        )
+        story = response.choices[0].message.content
+        return story
+    except Exception as e:
+        print(f"Error generating story: {e}")
+        return "Sorry, the story could not be generated."
+
+@app.route("/health", methods=["GET"])
+def health_check():
+    return jsonify({"status": "healthy", "message": "Image-to-Story API is running"})
+
+@app.route("/generate-story-base64", methods=["POST"])
+def generate_story_base64():
+    try:
+        data = request.get_json()
+        if "image" not in data:
+            return jsonify({"error": "No image provided"}), 400
+
+        # Decode base64
+        try:
+            image_data = base64.b64decode(data["image"])
+            image = Image.open(io.BytesIO(image_data))
+        except Exception:
+            return jsonify({"error": "Invalid image data"}), 400
+
+        if image.mode != "RGB":
+            image = image.convert("RGB")
+
+        temp_path = "temp_drawing.jpg"
+        image.save(temp_path, "JPEG")
+
+        audience = data.get("audience", "Children")
+
+        # Get description + generate story
+        description = get_image_description(temp_path)
+        story = generate_story(description, audience)
+
+        os.remove(temp_path)
+
+        return jsonify({
+            "success": True,
+            "description": description,
+            "story": story,
+            "audience": audience
+        })
+
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+def create_app():
+    return app
+
+if __name__ == "__main__":
+    port = int(os.environ.get("PORT", 7860))
+    app.run(host="0.0.0.0", port=port, debug=False)