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Update app.py

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  1. app.py +112 -92
app.py CHANGED
@@ -1,98 +1,118 @@
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- import gradio as gr
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- from transformers import pipeline
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- import torch
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- import warnings
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- warnings.filterwarnings('ignore')
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6
 
7
- device = "cuda" if torch.cuda.is_available() else "cpu"
 
 
 
 
 
8
 
9
- # Expanded models dictionary with more services
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- models = {
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- 'transcription': pipeline("automatic-speech-recognition", model="openai/whisper-small", device=device),
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- 'translation': pipeline("translation", model="facebook/mbart-large-50-many-to-many-mmt", device=device),
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- 'summarization': pipeline("summarization", model="facebook/bart-large-cnn", device=device),
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- 'sentiment': pipeline("sentiment-analysis", model="nlptown/bert-base-multilingual-uncased-sentiment", device=device),
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- 'question_answering': pipeline("question-answering", model="deepset/roberta-base-squad2", device=device),
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- 'chat': pipeline("text-generation", model="facebook/opt-125m", device=device),
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- 'image_caption': pipeline("image-to-text", model="Salesforce/blip-image-captioning-base", device=device),
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- 'text_to_speech': pipeline("text-to-audio", model="facebook/mms-tts-eng", device=device),
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- 'zero_shot': pipeline("zero-shot-classification", model="facebook/bart-large-mnli", device=device),
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- 'ner': pipeline("token-classification", model="dslim/bert-base-NER", device=device)
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- }
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- def process_request(service_type, *args, **kwargs):
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- try:
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- if not args[0]: return "Por favor, forneça os dados necessários."
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-
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- processors = {
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- 'transcription': lambda audio: models['transcription'](audio)["text"],
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- 'translation': lambda text, direction: models['translation'](text,
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- src_lang="pt" if direction=="pt_en" else "en",
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- tgt_lang="en" if direction=="pt_en" else "pt")[0]['translation_text'],
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- 'summarization': lambda text: models['summarization'](text, max_length=130, min_length=30)[0]['summary_text'],
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- 'sentiment': lambda text: models['sentiment'](text)[0]['label'],
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- 'qa': lambda q, ctx: models['question_answering'](question=q, context=ctx)['answer'],
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- 'chat': lambda msg, history: (models['chat'](msg, max_length=100, do_sample=True)[0]['generated_text'], history + [(msg, "")]),
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- 'image_caption': lambda img: models['image_caption'](img)[0]['generated_text'],
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- 'tts': lambda text: models['text_to_speech'](text),
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- 'zero_shot': lambda text, labels: models['zero_shot'](text, labels)['labels'][0],
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- 'ner': lambda text: models['ner'](text)
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  }
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-
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- return processors[service_type](*args)
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- except Exception as e:
44
- return f"Erro: {str(e)}"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
45
 
46
- with gr.Blocks(theme=gr.themes.Soft()) as demo:
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- gr.HTML(open("index.html").read())
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-
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- with gr.Tabs():
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- with gr.TabItem("📝 Transcrição"):
51
- audio_input = gr.Audio(type="filepath")
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- transcribe_button = gr.Button("Transcrever")
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- transcription_output = gr.Textbox(label="Resultado")
54
- transcribe_button.click(lambda x: process_request('transcription', x), inputs=audio_input, outputs=transcription_output)
55
-
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- with gr.TabItem("🔄 Tradução"):
57
- with gr.Row():
58
- text_to_translate = gr.Textbox(label="Texto")
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- translation_direction = gr.Radio(["en_pt", "pt_en"], value="en_pt")
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- translate_button = gr.Button("Traduzir")
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- translation_output = gr.Textbox(label="Resultado")
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- translate_button.click(lambda x, y: process_request('translation', x, y),
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- inputs=[text_to_translate, translation_direction],
64
- outputs=translation_output)
65
-
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- with gr.TabItem("📊 Análise"):
67
- with gr.Tabs():
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- with gr.TabItem("Resumo"):
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- text_sum = gr.Textbox(label="Texto", lines=5)
70
- sum_button = gr.Button("Resumir")
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- sum_output = gr.Textbox(label="Resultado")
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- sum_button.click(lambda x: process_request('summarization', x), inputs=text_sum, outputs=sum_output)
73
-
74
- with gr.TabItem("Sentimento"):
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- text_sent = gr.Textbox(label="Texto")
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- sent_button = gr.Button("Analisar")
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- sent_output = gr.Textbox(label="Resultado")
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- sent_button.click(lambda x: process_request('sentiment', x), inputs=text_sent, outputs=sent_output)
79
-
80
- with gr.TabItem("🤖 IA Avançada"):
81
- with gr.Tabs():
82
- with gr.TabItem("Chat"):
83
- chatbot = gr.Chatbot()
84
- msg = gr.Textbox(label="Mensagem")
85
- clear = gr.Button("Limpar")
86
- msg.submit(lambda x, y: process_request('chat', x, y), inputs=[msg, chatbot], outputs=[msg, chatbot])
87
- clear.click(lambda: None, None, chatbot, queue=False)
88
-
89
- with gr.TabItem("Classificação"):
90
- zero_text = gr.Textbox(label="Texto")
91
- zero_labels = gr.Textbox(label="Categorias (separadas por vírgula)")
92
- zero_button = gr.Button("Classificar")
93
- zero_output = gr.Textbox(label="Resultado")
94
- zero_button.click(lambda x, y: process_request('zero_shot', x, y.split(',')),
95
- inputs=[zero_text, zero_labels],
96
- outputs=zero_output)
97
 
98
- demo.launch(share=True)
 
 
 
 
 
 
1
+ <!DOCTYPE html>
2
+ <html lang="pt-BR">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <title>Central de IA - Bem-vindo</title>
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+ <style>
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+ .container {
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+ max-width: 800px;
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+ margin: 2rem auto;
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+ padding: 0 1rem;
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+ font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
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+ }
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+
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+ .header {
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+ text-align: center;
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+ margin-bottom: 3rem;
17
+ padding: 2rem;
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+ background: linear-gradient(135deg, #6366f1 0%, #4f46e5 100%);
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+ border-radius: 1rem;
20
+ color: white;
21
+ }
22
+
23
+ .header h1 {
24
+ margin: 0;
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+ font-size: 2.5rem;
26
+ font-weight: 700;
27
+ }
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+
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+ .header p {
30
+ margin: 1rem 0 0;
31
+ font-size: 1.1rem;
32
+ opacity: 0.9;
33
+ }
34
+
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+ .features {
36
+ display: grid;
37
+ grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
38
+ gap: 2rem;
39
+ margin: 3rem 0;
40
+ }
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+
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+ .feature-card {
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+ padding: 1.5rem;
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+ background: white;
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+ border-radius: 0.75rem;
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+ box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);
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+ transition: transform 0.2s;
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+ }
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+
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+ .feature-card:hover {
51
+ transform: translateY(-4px);
52
+ }
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+
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+ .feature-icon {
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+ font-size: 2rem;
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+ margin-bottom: 1rem;
57
+ }
58
 
59
+ .feature-title {
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+ font-size: 1.25rem;
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+ font-weight: 600;
62
+ margin-bottom: 0.5rem;
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+ color: #1f2937;
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+ }
65
 
66
+ .feature-description {
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+ color: #6b7280;
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+ line-height: 1.5;
69
+ }
 
 
 
 
 
 
 
 
 
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+ .footer {
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+ text-align: center;
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+ margin-top: 3rem;
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+ padding: 2rem;
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+ color: #6b7280;
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+ border-top: 1px solid #e5e7eb;
 
 
 
 
 
 
 
 
 
 
 
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  }
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+ </style>
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+ </head>
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+ <body>
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+ <div class="container">
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+ <header class="header">
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+ <h1>Central de Inteligência Artificial</h1>
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+ <p>Uma plataforma completa com ferramentas de IA para suas necessidades</p>
85
+ </header>
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+
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+ <div class="features">
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+ <div class="feature-card">
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+ <div class="feature-icon">📝</div>
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+ <h3 class="feature-title">Transcrição de Áudio</h3>
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+ <p class="feature-description">Converta áudio em texto com precisão usando tecnologia de ponta em reconhecimento de fala.</p>
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+ </div>
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+
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+ <div class="feature-card">
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+ <div class="feature-icon">🔄</div>
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+ <h3 class="feature-title">Tradução</h3>
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+ <p class="feature-description">Traduza textos entre português e inglês com nossa ferramenta de tradução neural.</p>
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+ </div>
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+
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+ <div class="feature-card">
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+ <div class="feature-icon">📊</div>
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+ <h3 class="feature-title">Análise de Texto</h3>
103
+ <p class="feature-description">Gere resumos automáticos e analise o sentimento de textos com facilidade.</p>
104
+ </div>
105
 
106
+ <div class="feature-card">
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+ <div class="feature-icon">🤖</div>
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+ <h3 class="feature-title">IA Avançada</h3>
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+ <p class="feature-description">Experimente nosso chatbot inteligente e classificação automática de textos.</p>
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+ </div>
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+ </div>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <footer class="footer">
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+ <p>Desenvolvido com tecnologia de ponta em Inteligência Artificial</p>
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+ </footer>
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+ </div>
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+ </body>
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+ </html>