gemini_fusion.py

import os
from google import genai

# Init Gemini client
client = genai.Client(api_key=os.getenv("AIzaSyA7ukpe_Vs9OVLU1T68tWHL5_hAjauBjEU"))

# === INPUTS FROM YOUR PIPELINE ===
avg_blink_interval_sec = 1.2
blink_variability = 0.5
audio_behavior_score = 99

prompt = f"""
You analyze behavioral timing patterns only.
Do NOT detect lies. Do NOT make judgments.

Inputs:
- Average blink interval (seconds): {avg_blink_interval_sec}
- Blink timing variability: {blink_variability}
- Audio behavioral load score (0–100): {audio_behavior_score}

Task:
Estimate behavioral inconsistency probability (0–100%).
Explain briefly in neutral, non-accusatory language.
"""

# ✅ FULL MODEL PATH (THIS IS THE KEY)
response = client.models.generate_content(
    model="models/gemini-1.5-pro-latest",
    contents=prompt
)

print("\n=== AI OUTPUT ===")
print(response.text)