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Browse files- app.py +49 -0
- requirements.txt +10 -0
app.py
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import streamlit as st
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import requests
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import os # Import os to access environment variables
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# Get API token from environment variable
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API_TOKEN = os.getenv("HF_API_TOKEN") # Fetch token securely
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MODEL_ID = "bigcode/starcoder"
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API_URL = f"https://api-inference.huggingface.co/models/{MODEL_ID}"
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HEADERS = {"Authorization": f"Bearer {API_TOKEN}"}
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def translate_code(code_snippet, source_lang, target_lang):
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"""Translate code using Hugging Face API securely."""
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prompt = f"Translate the following {source_lang} code to {target_lang}:\n\n{code_snippet}\n\nTranslated {target_lang} Code:\n"
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response = requests.post(API_URL, headers=HEADERS, json={
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"inputs": prompt,
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"parameters": {
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"max_new_tokens": 150,
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"temperature": 0.2,
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"top_k": 50,
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"stop": ["\n\n", "#", "//", "'''"]
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}
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})
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if response.status_code == 200:
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generated_text = response.json()[0]["generated_text"]
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translated_code = generated_text.split(f"Translated {target_lang} Code:\n")[-1].strip()
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return translated_code
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else:
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return f"Error: {response.status_code}, {response.text}"
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# Streamlit UI
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st.title("🔄 Code Translator using StarCoder")
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st.write("Translate code between different programming languages using AI.")
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languages = ["Python", "Java", "C++", "C"]
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source_lang = st.selectbox("Select source language", languages)
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target_lang = st.selectbox("Select target language", languages)
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code_input = st.text_area("Enter your code here:", height=200)
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if st.button("Translate"):
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if code_input.strip():
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with st.spinner("Translating..."):
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translated_code = translate_code(code_input, source_lang, target_lang)
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st.subheader("Translated Code:")
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st.code(translated_code, language=target_lang.lower())
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else:
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st.warning("⚠️ Please enter some code before translating.")
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requirements.txt
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@@ -0,0 +1,10 @@
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1 |
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torch
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torchvision
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torchaudio
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transformers
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tree_sitter
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fastapi
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uvicorn
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sentencepiece
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accelerate
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streamlit
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