Update app.py
Browse files
app.py
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import os
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import gradio as gr
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from huggingface_hub import InferenceClient
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def respond(message, history: list[dict[str, str]], saved_chats):
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# Puxa o token do secret do Hugging Face
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client = InferenceClient(token=os.environ["HF_TOKEN"], model="openai/gpt-oss-20b")
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system_message = """
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@@ -26,62 +41,70 @@ If someone asks what you are, clarify politely that you are BitAI, an AI chatbot
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temperature=0.7,
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top_p=0.95,
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):
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token = ""
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if len(choices) and choices[0].delta.content:
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token = choices[0].delta.content
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response += token
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yield response
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saved_chats.append(history.copy())
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return saved_chats, "Chat salvo! ✅"
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if 0 <= index < len(saved_chats):
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return saved_chats[index], f"Chat {index+1} carregado!
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return [], "Índice inválido."
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with gr.Blocks(css="""
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/*
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.gr-chat-interface {
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border-radius: 20px !important;
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overflow: hidden !important;
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border: 2px solid #333 !important;
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background-color: #1a1a1a !important;
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color: white;
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}
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.gr-button, .gr-chat-send-button {
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border-radius: 50px;
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padding: 12px 20px;
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background-color: #111;
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color: white;
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font-weight: bold;
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cursor: pointer;
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height: 50px;
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transition: background-color 0.5s;
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}
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.gr-button:active, .gr-chat-send-button:active {
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background-color: white !important;
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color: #111 !important;
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transition: background-color 0.5s;
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}
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button:not(.gr-chat-send-button) {
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border-radius: 30px;
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padding: 6px 12px;
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background-color: #222;
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color: white;
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height: 40px;
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transition: background-color 0.5s;
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}
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button:not(.gr-chat-send-button):active {
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background-color: white !important;
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color: #111 !important;
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transition: background-color 0.5s;
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}
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textarea {
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height: 40px !important;
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border-radius: 20px !important;
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}
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""") as demo:
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saved_chats = gr.State(
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if __name__ == "__main__":
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demo.launch()
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import os
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import gradio as gr
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from huggingface_hub import InferenceClient
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import json
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SAVE_FILE = "bitai_history.json"
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# Função pra carregar histórico salvo no arquivo
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def load_saved_chats():
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if os.path.exists(SAVE_FILE):
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with open(SAVE_FILE, "r", encoding="utf-8") as f:
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return json.load(f)
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return []
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# Função pra salvar o histórico atual no arquivo
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def save_chats(chats):
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with open(SAVE_FILE, "w", encoding="utf-8") as f:
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json.dump(chats, f, ensure_ascii=False, indent=2)
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# Função principal do chat
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def respond(message, history: list[dict[str, str]], saved_chats):
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client = InferenceClient(token=os.environ["HF_TOKEN"], model="openai/gpt-oss-20b")
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system_message = """
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temperature=0.7,
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top_p=0.95,
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):
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token = msg.choices[0].delta.content if msg.choices and msg.choices[0].delta else ""
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response += token
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yield response
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# Após a resposta completa, salva automaticamente
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": response})
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# Atualiza o histórico e salva no arquivo
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saved_chats[-1] = history
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save_chats(saved_chats)
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def new_chat(saved_chats):
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# Cria novo chat vazio
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saved_chats.append([])
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save_chats(saved_chats)
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return saved_chats, len(saved_chats) - 1, []
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def select_chat(index, saved_chats):
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# Seleciona um chat pelo índice
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if 0 <= index < len(saved_chats):
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return saved_chats[index], f"Chat {index+1} carregado!"
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return [], "Índice inválido."
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with gr.Blocks(css="""
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/* Fundo geral */
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body, .gr-blocks {
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background-color: #1a1a1a !important;
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color: white;
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}
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/* Sidebar */
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.sidebar {
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background-color: #111;
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padding: 10px;
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border-right: 2px solid #333;
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height: 100vh;
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overflow-y: auto;
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}
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.sidebar button {
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display: block;
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width: 100%;
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margin-bottom: 10px;
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background-color: #222;
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color: white;
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border-radius: 10px;
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padding: 10px;
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text-align: left;
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border: none;
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cursor: pointer;
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transition: background-color 0.3s;
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}
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.sidebar button:hover {
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background-color: #444;
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}
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/* Chat */
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.gr-chat-interface {
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border-radius: 20px !important;
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border: 2px solid #333 !important;
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background-color: #1a1a1a !important;
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color: white;
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}
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textarea {
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height: 40px !important;
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border-radius: 20px !important;
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}
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""") as demo:
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saved_chats = gr.State(load_saved_chats())
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current_index = gr.State(0)
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with gr.Row():
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with gr.Column(scale=0.3, elem_classes="sidebar"):
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gr.HTML("<h3>���� Histórico</h3>")
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chat_list = gr.Column()
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new_chat_btn = gr.Button("➕ Novo Chat")
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with gr.Column(scale=1):
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gr.HTML("<h2 style='text-align:center; color:white'>BitAI</h2>")
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chatbot = gr.ChatInterface(fn=respond, type="messages", additional_inputs=[saved_chats])
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status = gr.Textbox(label="Status", interactive=False)
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def update_chat_list(saved_chats):
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# Mostra botões para cada chat
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return [
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gr.Button.update(value=f"Chat {i+1}") for i in range(len(saved_chats))
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]
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# Atualiza lista de chats
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demo.load(update_chat_list, saved_chats, chat_list)
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# Cria novo chat
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new_chat_btn.click(new_chat, [saved_chats], [saved_chats, current_index, chatbot.chatbot]).then(
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update_chat_list, saved_chats, chat_list
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)
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# Clica num chat da lista
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for i in range(20): # Limite de 20 chats visíveis
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btn = gr.Button(f"Chat {i+1}", visible=False)
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btn.click(select_chat, [gr.State(i), saved_chats], [chatbot.chatbot, status])
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if __name__ == "__main__":
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demo.launch()
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