wehub-resource-sync
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
# Copyright 2023 Google LLC
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import os
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import functions_framework
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import vertexai
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from vertexai.generative_models import GenerativeModel
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@functions_framework.http
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def list_text_input(request) -> str | tuple[str, int]:
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print(request)
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try:
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request_json = request.get_json()
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calls = request_json["calls"]
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for call in calls:
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text_prompt = str(call[0])
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print(text_prompt)
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return text_prompt
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except Exception as e:
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return json.dumps({"errorMessage": str(e)}), 400
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def generate_text_from_prompt(text_string) -> str | None:
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# this is the text-to-text model
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text_model = GenerativeModel("gemini-2.0-flash")
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responses = text_model.generate_content(text_string, stream=False)
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print(responses)
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output = " ".join(responses.text.strip().split("\n"))
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print(output)
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return output
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def run_it(request) -> str | tuple[str, int]:
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try:
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project_id = os.environ.get("PROJECT_ID")
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region = os.environ.get("REGION")
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vertexai.init(project=project_id, location=region)
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text_to_analyze = list_text_input(request)
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text_output = generate_text_from_prompt(text_to_analyze)
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result = text_output or "Unable to generate description"
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return json.dumps({"replies": [result]})
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except Exception as e:
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return json.dumps({"errorMessage": str(e)}), 400
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