Initial working app

app.py

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+import gradio as gr
+import requests
+from annif_client import AnnifClient
+import os
+
+
+# Get VLM API base URL and API key from environment variables
+VLM_API_BASE_URL = os.getenv("VLM_API_BASE_URL")
+VLM_API_KEY = os.getenv("VLM_API_KEY", "")
+VLM_API_ENDPOINT = f"{VLM_API_BASE_URL}/v1/chat/completions"
+
+
+# Initialize Annif client (no arguments)
+annif = AnnifClient()
+
+
+def get_caption(image):
+    # Convert image to base64 JPEG
+    import io
+    import base64
+
+    buf = io.BytesIO()
+    image.save(buf, format="JPEG")
+    img_bytes = buf.getvalue()
+    img_b64 = base64.b64encode(img_bytes).decode("utf-8")
+
+    # Prepare payload for VLM (OpenAI schema)
+    payload = {
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "What is in this image?"},
+                    {
+                        "type": "image_url",
+                        "image_url": {"url": f"data:image/jpeg;base64,{img_b64}"},
+                    },
+                ],
+            }
+        ],
+        "max_tokens": 300,
+    }
+    headers = {"X-API-Key": VLM_API_KEY} if VLM_API_KEY else {}
+    try:
+        response = requests.post(VLM_API_ENDPOINT, json=payload, headers=headers)
+        response.raise_for_status()
+        data = response.json()
+        # Assume caption is in data['choices'][0]['message']['content']
+        caption = data["choices"][0]["message"]["content"]
+    except Exception as e:
+        caption = f"Error: {e}"
+    return caption
+
+
+PROJECT_ID = "yso-en"  # Placeholder, update as needed
+
+
+def get_subjects(caption):
+    try:
+        results = annif.suggest(project_id=PROJECT_ID, text=caption)
+        # Return a dict: {label: score, ...}
+        label_scores = {result["label"]: result["score"] for result in results}
+        # If no results, return a string error
+        if not label_scores:
+            return "No subjects found."
+        return label_scores
+    except Exception as e:
+        return f"Error: {e}"
+
+
+def process_image(image):
+    caption = get_caption(image)
+    subjects = get_subjects(caption)
+    return image, caption, subjects
+
+
+demo = gr.Interface(
+    fn=process_image,
+    inputs=gr.Image(type="pil", label="Upload or take a photo"),
+    outputs=[
+        gr.Image(type="pil", label="Input Image"),
+        gr.Textbox(label="Caption"),
+        gr.Label(label="Subject Suggestions"),
+    ],
+    title="VLM Caption & Annif Subject Demo",
+    description="Upload or take a photo. The app generates a caption using a Visual Language Model and suggests subjects using Annif.",
+)
+
+demo.launch()