from fastapi import FastAPI, Form
from fastapi.responses import HTMLResponse
from huggingface_hub import InferenceClient
app = FastAPI()
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
def system_instructions(context):
return f""" [INST] Your are a great teacher and your task is to create 6 questions with answer and 4 choices based on the following context:\n\n{context}\n\n. Each example should be like this
Question: ""
Choices:
A): ""
B): ""
C): ""
D): ""
Answer: "A/B/C/D"
Explanation: ""
\n
[/INST]
"""
def generate_quiz(context):
formatted_prompt = system_instructions(context)
pre_prompt = [
{"role": "system", "content": formatted_prompt}
]
generate_kwargs = dict(
temperature=0.1,
max_new_tokens=2048,
top_p=0.95,
repetition_penalty=1.0,
do_sample=True,
seed=42,
)
response = client.text_generation(
formatted_prompt, **generate_kwargs, stream=False, details=False, return_full_text=False,
)
return response
@app.get("/", response_class=HTMLResponse)
async def get_index():
return """
Generate Quiz
Generate Quiz
"""
@app.post("/generate-quiz", response_class=HTMLResponse)
async def generate_quiz_endpoint(context: str = Form(...)):
response = await generate_quiz(context)
quiz_html = f"""
Generated Quiz
Generated Quiz
{response}
Back to generate another quiz
"""
return HTMLResponse(content=quiz_html)