80 lines
2.1 KiB
Python
80 lines
2.1 KiB
Python
#!/usr/bin/env python3
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import os
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import vertexai
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from fastapi import FastAPI
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from fastapi.responses import StreamingResponse
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel
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from vertexai.generative_models import ChatSession, GenerativeModel, Part, SafetySetting
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from dotenv import load_dotenv
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load_dotenv()
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PROJECT_ID = os.environ.get('PROJECT_ID')
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def generate():
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vertexai.init(project=PROJECT_ID, location="us-central1")
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model = GenerativeModel(
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"gemini-1.5-flash-001",
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system_instruction=[textsi_1]
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)
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return model.start_chat()
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textsi_1 = """你要用中文回答一个德语刚入门的新手的回答，先用德语回答然后在用中文解释这个回答并给出建议"""
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generation_config = {
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"max_output_tokens": 1024,
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"temperature": 0.2,
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"top_p": 0,
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}
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safety_settings = [
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SafetySetting(
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category=SafetySetting.HarmCategory.HARM_CATEGORY_HATE_SPEECH,
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threshold=SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
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),
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SafetySetting(
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category=SafetySetting.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
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threshold=SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
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),
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SafetySetting(
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category=SafetySetting.HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT,
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threshold=SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
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),
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SafetySetting(
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category=SafetySetting.HarmCategory.HARM_CATEGORY_HARASSMENT,
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threshold=SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
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),
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]
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model = generate()
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def stream_chat(model : ChatSession, _input):
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responses = model.send_message(
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[_input],
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generation_config=generation_config,
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safety_settings=safety_settings,
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stream=True,
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)
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for chunk in responses:
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yield chunk.text
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app = FastAPI(
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title="AAII",
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version="0.0.1"
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)
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class ChatRequest(BaseModel):
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prompt: str
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@app.post("/generate_text_stream")
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async def generate_text(request : ChatRequest):
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return StreamingResponse(stream_chat(model, request.prompt),media_type="text/plain")
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app.mount("/", StaticFiles(directory="static", html=True), name="static")
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