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Rajut/CodeGeneration

sourceHugging Faceupdated 2y agoView on Hugging Face
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app.py64 linesDownload Raw Back to root
1import streamlit as st2from transformers import pipeline3import csv4import re5import torch6import warnings7 8warnings.filterwarnings("ignore")9 10# Define a prompt template for Magicoder with placeholders for instruction and response.11MAGICODER_PROMPT = """You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.12@@ Instruction13{instruction}14@@ Response15"""16 17@st.cache(allow_output_mutation=True)18def load_model():19    return pipeline(20        model="ise-uiuc/Magicoder-S-DS-6.7B",21        task="text-generation"22    )23 24# Function to generate response25def generate_response(instruction):26    prompt = MAGICODER_PROMPT.format(instruction=instruction)27    result = model(prompt, max_length=2048, num_return_sequences=1, temperature=0.0)28    response = result[0]["generated_text"]29    response_start_index = response.find("@@ Response") + len("@@ Response")30    response = response[response_start_index:].strip()31    return response32 33# Function to append data to a CSV file34def save_to_csv(data, filename):35    with open(filename, 'a', newline='') as csvfile:36        writer = csv.writer(csvfile)37        writer.writerow(data)38 39# Streamlit app40def main():41    global model42    st.title("Magicoder Assistant")43 44    if 'model' not in globals():45        model = load_model()46 47    instruction = st.text_area("Enter your instruction here:")48    if st.button("Generate Response"):49        generated_response = generate_response(instruction)50        st.text("Generated response:")51        st.text(generated_response)52 53        correct_output = st.radio("Is the generated output correct?", ("Yes", "No"))54        if correct_output.lower() == 'yes':55            feedback = st.text_input("Do you want to provide any feedback?")56            save_to_csv(["Correct", feedback], 'output_ratings.csv')57        else:58            correct_code = st.text_area("Please enter the correct code:")59            feedback = st.text_input("Any other feedback you want to provide:")60            save_to_csv(["Incorrect", feedback, correct_code], 'output_ratings.csv')61 62if __name__ == "__main__":63    main()64