mvp

.gitignore

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+.env
+__pycache__/
+*.pyc
+*.pyo
+response.txt
+out.txt
+Test_pic.jpg

image_query.py

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+import anthropic
+import base64
+import sys
+from pathlib import Path
+from dotenv import load_dotenv
+
+load_dotenv()
+
+MEDIA_TYPES = {
+    ".jpg": "image/jpeg",
+    ".jpeg": "image/jpeg",
+    ".png": "image/png",
+    ".gif": "image/gif",
+    ".webp": "image/webp",
+}
+
+
+def get_media_type(image_path: str) -> str:
+    ext = Path(image_path).suffix.lower()
+    media_type = MEDIA_TYPES.get(ext)
+    if not media_type:
+        raise ValueError(f"Unsupported image format: {ext}. Use jpg, png, gif, or webp.")
+    return media_type
+
+
+def load_image_b64(image_path: str) -> str:
+    with open(image_path, "rb") as f:
+        return base64.standard_b64encode(f.read()).decode("utf-8")
+
+
+def query_claude(image_path: str, prompt: str) -> str:
+    client = anthropic.Anthropic()
+    media_type = get_media_type(image_path)
+    image_data = load_image_b64(image_path)
+
+    response = client.messages.create(
+        model="claude-opus-4-6",
+        max_tokens=4096,
+        messages=[
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "image",
+                        "source": {
+                            "type": "base64",
+                            "media_type": media_type,
+                            "data": image_data,
+                        },
+                    },
+                    {"type": "text", "text": prompt},
+                ],
+            }
+        ],
+    )
+
+    return next(block.text for block in response.content if block.type == "text")
+
+
+def main():
+    if len(sys.argv) < 3:
+        print("Usage: python image_query.py <image_path> \"<prompt>\" [output_file]")
+        sys.exit(1)
+
+    image_path = sys.argv[1]
+    prompt = sys.argv[2]
+    output_file = sys.argv[3] if len(sys.argv) > 3 else "response.txt"
+
+    if not Path(image_path).exists():
+        print(f"Error: image file '{image_path}' not found.")
+        sys.exit(1)
+
+    print(f"Querying Claude about '{image_path}'...")
+    response_text = query_claude(image_path, prompt)
+
+    print("\n--- Response ---")
+    print(response_text)
+
+    with open(output_file, "w", encoding="utf-8") as f:
+        f.write(response_text)
+
+    print(f"\nSaved to {output_file}")
+
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+anthropic
+python-dotenv