main.py

# Copyright 2023 Google LLC

# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at

#     http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import functions_framework
import json
import os
import vertexai
from vertexai.preview.generative_models import GenerativeModel, Part

@functions_framework.http
def list_url(request):
  print(request)
  try:
    request_json = request.get_json()
    calls = request_json['calls']
    for call in calls:
      image_url = str(call[0])
      print(image_url)
    return image_url
  except Exception as e:
    return json.dumps({"errorMessage": str(e)}), 400

def analyze_image(image_file):
  gemini_pro_vision_model = GenerativeModel("gemini-pro-vision")
  print(gemini_pro_vision_model)
  image = Part.from_uri(
      image_file, mime_type="image/jpeg")
  print(image)
  context = 'Describe and summarize this image. Use no more than 5 sentences to do so'
  prompt = [context, image]
  print(prompt)
  response = gemini_pro_vision_model.generate_content(prompt, stream=False)
  print(response)
  output = response.text
  output = output.strip()
  output = output.split("\n")
  output = " ".join(output)
  print(output)
  return output

def check_string(input_string):
  if not input_string:
    return "Unable to generate description"
  return input_string

def run_it(request):
  try:
    project_id = os.environ.get("PROJECT_ID")
    region = os.environ.get("REGION")
    vertexai.init(project=project_id, location=region)
    file_to_analyze = list_url(request)
    image_description = analyze_image(file_to_analyze)
    return_value = []
    result = check_string(image_description)
    return_value.append(result)
    return_json = json.dumps({"replies": return_value})
    return return_json
  except Exception as e:
    return json.dumps({"errorMessage": str(e)}), 400