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Update app.py
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app.py
CHANGED
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@@ -4,27 +4,21 @@ import subprocess
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import streamlit as st
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from huggingface_hub import InferenceClient
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st.set_page_config(page_title="Python to C++17 Translator", page_icon="⚙️", layout="wide")
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# Inicializar estado del chat
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Sidebar para configuración
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with st.sidebar:
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st.header("
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selected_model = st.selectbox(
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"
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[
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"Qwen/Qwen2.5-Coder-32B-Instruct"
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"Qwen/CodeQwen1.5-7B-Chat",
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"meta-llama/CodeLlama-13b-Instruct-hf"
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],
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index=0
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)
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st.markdown("---")
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st.markdown("### Entorno de Ejecución")
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st.code("g++ -O3 -std=c++17", language="bash")
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@@ -65,9 +59,7 @@ def compile_and_run_cpp(cpp_code: str) -> str:
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compile_cmd = ["g++", "-O3", "-std=c++17", cpp_file, "-o", exe_file]
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try:
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# Compilar
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comp_process = subprocess.run(compile_cmd, capture_output=True, text=True, check=True)
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# Ejecutar
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run_process = subprocess.run([exe_file], capture_output=True, text=True, timeout=10)
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output = run_process.stdout
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@@ -76,14 +68,13 @@ def compile_and_run_cpp(cpp_code: str) -> str:
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return output if output else "Ejecución completada sin salida (stdout vacío)."
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except subprocess.CalledProcessError as e:
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return f"
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except subprocess.TimeoutExpired:
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return "
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st.title("
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st.markdown("Pega tu código de Python en el chat. El sistema
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# Renderizar el historial de mensajes
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for msg in st.session_state.messages:
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with st.chat_message(msg["role"]):
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if msg["role"] == "user":
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@@ -93,15 +84,14 @@ for msg in st.session_state.messages:
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with st.expander("Ver salida de ejecución"):
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st.text(msg["content"]["output"])
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if prompt := st.chat_input("Escribe o pega tu código Python aquí..."):
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.code(prompt, language="python")
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hf_token = os.getenv("HF_TOKEN")
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if not hf_token:
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st.error("
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st.stop()
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client = InferenceClient(model=selected_model, token=hf_token)
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@@ -112,9 +102,8 @@ if prompt := st.chat_input("Escribe o pega tu código Python aquí..."):
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]
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with st.chat_message("assistant"):
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with st.spinner("Conectando con la API y traduciendo a C++
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try:
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# Usamos la nueva API de chat (más estable, no requiere Tokenizer local)
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response = client.chat_completion(
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messages=messages_for_hf,
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max_tokens=3000,
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@@ -126,7 +115,7 @@ if prompt := st.chat_input("Escribe o pega tu código Python aquí..."):
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st.code(clean_cpp, language="cpp")
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st.markdown("---")
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st.markdown("
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with st.spinner("Compilando y ejecutando..."):
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execution_output = compile_and_run_cpp(clean_cpp)
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import streamlit as st
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from huggingface_hub import InferenceClient
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st.set_page_config(page_title="Python to C++17 Translator", layout="wide")
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if "messages" not in st.session_state:
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st.session_state.messages = []
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with st.sidebar:
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st.header("Configuracion del Modelo")
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selected_model = st.selectbox(
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"Modelo usado:",
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[
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"Qwen/Qwen2.5-Coder-32B-Instruct"
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],
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index=0
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)
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st.markdown("### Entorno de Ejecución")
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st.code("g++ -O3 -std=c++17", language="bash")
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compile_cmd = ["g++", "-O3", "-std=c++17", cpp_file, "-o", exe_file]
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try:
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comp_process = subprocess.run(compile_cmd, capture_output=True, text=True, check=True)
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run_process = subprocess.run([exe_file], capture_output=True, text=True, timeout=10)
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output = run_process.stdout
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return output if output else "Ejecución completada sin salida (stdout vacío)."
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except subprocess.CalledProcessError as e:
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return f" Error de Compilación:\n{e.stderr}"
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except subprocess.TimeoutExpired:
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return " Timeout: La ejecución excedió los 10 segundos."
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st.title("Python to C++ Auto-Translator")
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st.markdown("Pega tu código de Python en el chat. El sistema generara la traducción a C++ y la ejecutara automaticamente")
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for msg in st.session_state.messages:
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with st.chat_message(msg["role"]):
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if msg["role"] == "user":
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with st.expander("Ver salida de ejecución"):
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st.text(msg["content"]["output"])
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if prompt := st.chat_input("Escribe o pega tu código Python aqui:"):
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.code(prompt, language="python")
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hf_token = os.getenv("HF_TOKEN")
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if not hf_token:
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st.error("ERROR CRÍTICO: No se encontró el HF_TOKEN. Ve a Settings -> Variables and secrets y configuralo.")
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st.stop()
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client = InferenceClient(model=selected_model, token=hf_token)
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]
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with st.chat_message("assistant"):
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with st.spinner("Conectando con la API y traduciendo a C++"):
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try:
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response = client.chat_completion(
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messages=messages_for_hf,
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max_tokens=3000,
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st.code(clean_cpp, language="cpp")
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st.markdown("---")
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st.markdown(" **Ejecutando binario...**")
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with st.spinner("Compilando y ejecutando..."):
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execution_output = compile_and_run_cpp(clean_cpp)
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