Update app.py
Browse files
app.py
CHANGED
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@@ -1,6 +1,5 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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import asyncio
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# Função principal da IA
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def respond(message, history: list[dict[str, str]], hf_token: gr.OAuthToken):
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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# Primeiro: avisa que a IA está pensando
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yield {"response": "", "mode": "thinking"}
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response = ""
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for message_chunk in client.chat_completion(
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messages,
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max_tokens=512,
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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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#
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yield {"response": response, "mode": "thinking"}
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# Quando terminou, volta para normal
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yield {"response": response, "mode": "normal"}
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# HTML do ícone
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bit_icon_html = """
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<div style="text-align:center; margin-top:10px;">
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<div class="wrap" id="bit" style="width:50px; height:50px; margin:auto;">
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@@ -52,10 +45,21 @@ bit_icon_html = """
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<script>
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const wrap = document.getElementById('bit');
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</script>
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<style>
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</style>
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"""
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def respond_wrapper(message, history, hf_token):
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for output in respond(message, history, hf_token):
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# Cada yield retorna dict com resposta e modo
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yield gr.update(value=output["response"]), gr.HTML.update(value=f"<script>window.setThinking({str(output['mode']=='thinking').lower()});</script>")
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chatbot = gr.ChatInterface(
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respond_wrapper, type="messages"
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)
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with gr.Blocks(css="""
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body { background-color: #f0f0f0; font-family: 'Arial', sans-serif; }
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@@ -96,7 +92,7 @@ with gr.Blocks(css="""
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gr.LoginButton()
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chatbot.render()
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# Ícone
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gr.HTML(bit_icon_html)
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if __name__ == "__main__":
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import gradio as gr
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from huggingface_hub import InferenceClient
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# Função principal da IA
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def respond(message, history: list[dict[str, str]], hf_token: gr.OAuthToken):
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = ""
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# Stream das respostas
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for message_chunk in client.chat_completion(
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messages,
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max_tokens=512,
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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 # só retorna a resposta
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# HTML e JS do ícone BitAI embaixo do chat
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bit_icon_html = """
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<div style="text-align:center; margin-top:10px;">
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<div class="wrap" id="bit" style="width:50px; height:50px; margin:auto;">
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<script>
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const wrap = document.getElementById('bit');
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// Observa novas mensagens do bot e dispara animação thinking
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const observer = new MutationObserver((mutationsList) => {
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mutationsList.forEach(mutation => {
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mutation.addedNodes.forEach(node => {
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if (node.classList && node.classList.contains('bot')) {
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wrap.classList.add('thinking');
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setTimeout(()=>{ wrap.classList.remove('thinking'); }, 1200);
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}
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});
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});
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});
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const chatContainer = document.querySelector('.gradio-chatbot-container');
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if(chatContainer) observer.observe(chatContainer, { childList: true, subtree: true });
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</script>
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<style>
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</style>
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"""
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chatbot = gr.ChatInterface(respond, type="messages")
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with gr.Blocks(css="""
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body { background-color: #f0f0f0; font-family: 'Arial', sans-serif; }
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gr.LoginButton()
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chatbot.render()
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# Ícone animado no final do chat
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gr.HTML(bit_icon_html)
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if __name__ == "__main__":
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