fixed major changes

app.py

@@ -7,12 +7,31 @@ from google.cloud import aiplatform
 from transformers import pipeline
 from google.genai import types
 import gradio as gr
-apikey = "AIzaSyCeY0ji2gnMwvP8jGCU_Z5DG6m9Ybo3JeE"  # Replace or use os.getenv if secret
+import torch
+import os, tempfile
+import json
+
+creds_json = os.getenv("GCP_CREDS_JSON")
+if not creds_json:
+    raise Exception("⚠️ Missing GCP_CREDS_JSON secret!")
+
+# Save to temp file
+with tempfile.NamedTemporaryFile(mode='w+', delete=False) as tmpfile:
+    tmpfile.write(creds_json)
+    creds_path = tmpfile.name
+
+os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = creds_path
+
+# Initialize GCP API
+aiplatform.init(project="your-project-id", location="us-central1")
+
+
+
+apikey = os.environ["GEMINI_API_KEY"]  # Replace or use os.getenv if secret
 
 # Configure Gemini API for drafting (free)
 genai_ext.configure(api_key=apikey)
-llm_model = genai_ext.GenerativeModel('gemini-1.5-flash')
-
+llm_model = genai_ext.GenerativeModel('gemini-1.5-pro')
 # Real classifiers
 emotion_classifier = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base")  # For D
 sentiment_classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")  # For M
@@ -61,7 +80,7 @@ class HumanLikeChatbot:
             # Clean input
             clean_message = message.lower().strip()
             if len(clean_message) < 3 or not any(c.isalpha() for c in clean_message):
-                return "Bhai, yeh kya likha? Clear bol na, main samajh lunga! (E Score: 0.0)"
+                return "Be clear buddy (E Score: 0.0)"
 
             # Emotion detect from tuned model
             contents = [