app.py

import streamlit as st
#from google.cloud import aiplatform
from transformers import pipeline
from google.cloud import aiplatform
import os
import logging
import whisper
from gtts import gTTS
import tempfile
from pydub import AudioSegment
from groq import Groq, GroqError

# Set up Google Cloud credentials
def setup_google_cloud_credentials():
    google_credentials_path = "/path/to/your-service-account-file.json"
    if os.path.exists(google_credentials_path):
        os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = google_credentials_path
        logging.info(f"Google Cloud credentials set from {google_credentials_path}")
    else:
        raise FileNotFoundError(f"Google Cloud credentials file not found at {google_credentials_path}")

# Initialize the client
def init_palm(api_key):
    aiplatform.init(api_key=api_key)

# Function to generate responses
def generate_palm_response(prompt):
    response = aiplatform.Model.predict(
        model_name="gemini-1.5-flash",
        instances=[{"prompt": prompt}]
    )
    return response.predictions[0]['content']

# Main code to run the application
if __name__ == "__main__":
    try:
        # Set up Google Cloud credentials
        setup_google_cloud_credentials()

        # Call the model
        api_key = "AIzaSyD-49IyRzS6Ok_zymcEdv1QADw0rWQJFI4"
        init_palm(api_key)
        response = generate_palm_response("Heart health query...")
        print(response)

        # Streamlit app or other logic goes here...

    except Exception as e:
        logging.error(f"Error occurred: {e}")