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2268915
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Create app.py

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  1. app.py +59 -0
app.py ADDED
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+ import os
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+ import dotenv
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+ import requests
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+ from transformers import AutoTokenizer
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+ import streamlit as st
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+
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+
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+ dotenv.load_dotenv()
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+ token = os.environ['HF_TOKEN']
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+
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+
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+ # add models here
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+ modelos = {
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+ 'Felladrin/Llama-68M-Chat-v1': '[/INST]',
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+ 'google/gemma-7b-it': '<start_of_turn>model\n',
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+ 'google/gemma-2-2b-it': '<start_of_turn>model\n'
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+ }
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+
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+ nome_modelo = st.selectbox('select a model:', options=modelos)
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+ token_modelo = modelos[nome_modelo]
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+
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+ url = f"https://api-inference.huggingface.co/models/{nome_modelo}"
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+ tokenizer = AutoTokenizer.from_pretrained(nome_modelo)
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+
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+ if 'modelo_atual' not in st.session_state or st.session_state['modelo_atual'] != nome_modelo:
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+ st.session_state['modelo_atual'] = nome_modelo
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+ st.session_state['mensagens'] = []
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+
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+ mensagens = st.session_state['mensagens']
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+
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+ area_chat = st.empty()
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+ pergunta_usuario = st.chat_input('Do you question here: ')
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+
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+ if pergunta_usuario:
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+ mensagens.append({'role': 'user', 'content': pergunta_usuario})
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+ inputs = tokenizer.apply_chat_template(mensagens, tokenize=False, add_generation_prompt=True)
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+ json = {
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+ 'inputs': inputs,
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+ 'parameters': {'max_new_tokens': 1_000},
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+ 'options': {'use_cache': False, 'wait_for_model': True},
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+ }
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+ headers = {
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+ 'Authorization': f'Bearer {token}',
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+ }
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+
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+ # Send request and verify response
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+ response = requests.post(url, json=json, headers=headers).json()
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+
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+ # verify if response is valid
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+ if isinstance(response, list) and len(response) > 0 and 'generated_text' in response[0]:
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+ resposta_chatbot = response[0]['generated_text'].split(token_modelo)[-1]
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+ mensagens.append({'role': 'assistant', 'content': resposta_chatbot})
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+ else:
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+ mensagens.append({'role': 'assistant', 'content': "Desculpe, algo deu errado ao processar sua solicitação."})
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+
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+ with area_chat.container():
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+ for mensagem in mensagens:
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+ chat = st.chat_message(mensagem['role'])
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+ chat.markdown(mensagem['content'])