72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
import os
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import json
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import io
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from PIL import Image
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from google import genai
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from google.genai import types
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def get_best_models():
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# Using the exact models discovered via diagnostic
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return ["gemini-2.0-flash", "gemini-2.5-flash"]
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def extract(image_bytes: bytes, prompt: str):
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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print("CRITICAL: GEMINI_API_KEY is MISSING in environment!")
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return None
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# Log partial key for safety debug
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key_hint = f"{api_key[:4]}...{api_key[-4:]}" if len(api_key) > 8 else "too short"
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print(f"🔑 Using API Key: {key_hint}")
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try:
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# Initialize the NEW SDK Client forcing stable v1 API
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client = genai.Client(api_key=api_key, http_options={'api_version': 'v1'})
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# DEBUG: List allowed models for this key
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print("🔍 Checking available models for your key...")
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try:
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for m in client.models.list():
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print(f" - Found: {m.name}")
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except Exception as list_e:
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print(f" ⚠️ Could not list models: {list_e}")
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models_to_try = get_best_models()
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# Try models in order
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for model_name in models_to_try:
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try:
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print(f"🚀 AI Launching (v2 SDK): {model_name}...")
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# In the new SDK, we pass a list of parts (text string and image bytes)
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response = client.models.generate_content(
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model=model_name,
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contents=[
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prompt,
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types.Part.from_bytes(data=image_bytes, mime_type="image/jpeg")
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]
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)
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if not response or not response.text:
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continue
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text = response.text.strip()
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print(f"✅ AI Response Received ({len(text)} bytes)")
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# Extract JSON block
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if "```json" in text:
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text = text.split("```json")[1].split("```")[0].strip()
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elif "```" in text:
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text = text.split("```")[1].strip()
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return json.loads(text)
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except Exception as e:
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print(f"❌ Gemini {model_name} failed: {e}")
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continue
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except Exception as outer_e:
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print(f"❌ Gemini Client Init failed: {outer_e}")
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return None
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