rumed-phi3-mini / app.py
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import streamlit as st
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="Mykes/med_gemma7b_gguf",
filename="*Q4_K_M.gguf",
verbose=False
)
basic_prompt = "Below is the context which is your conversation history and the last user question. Write a response according the context and question. ### Context: user: Ответь мне на вопрос о моем здоровье. assistant: Конечно! Какой у Вас вопрос? ### Question: {question} ### Response:"
def generate_response(question):
model_input = basic_prompt.format(question=input_text)
if question:
output = llm(
model_input, # Prompt
max_tokens=32, # Generate up to 32 tokens, set to None to generate up to the end of the context window
stop=["<end_of_turn>"],
echo=False # Echo the prompt back in the output
) # Generate a completion, can also call create_completion
st.write(output["choices"][0]["text"])
else:
st.write("Please enter a question to get a response.")
input_text = st.text_input('Задайте мне медицинский вопрос...')
# Button to trigger response generation
if st.button('Generate Response'):
generate_response(input_text)