in UI/utils.py [0:0]
def generate_result(query):
config = configparser.ConfigParser()
config.read('config.ini')
project_id = config['DEFAULT']['PROJECT_ID']
location = config['DEFAULT']['LOCATION']
generation_config = {
"max_output_tokens": 8192,
"temperature": 1,
"top_p": 0.95
}
safety_settings = {
generative_models.HarmCategory.HARM_CATEGORY_HATE_SPEECH:
generative_models.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
generative_models.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT:
generative_models.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
generative_models.HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT:
generative_models.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
generative_models.HarmCategory.HARM_CATEGORY_HARASSMENT:
generative_models.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
}
vertexai.init(project=project_id, location=location)
model = GenerativeModel("gemini-1.5-pro-001")
responses = model.generate_content(
[query],
generation_config=generation_config,
safety_settings=safety_settings,
stream=True,
)
final_response = """"""
for response in responses:
final_response = final_response + response.text
return final_response