app.py

import streamlit as st
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 = "your-google-api-key"
        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}")