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Create app.py
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app.py
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import gradio as gr
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from transformers import BlenderbotTokenizer, BlenderbotForConditionalGeneration
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tokenizer = BlenderbotTokenizer.from_pretrained("facebook/blenderbot-400M-distill")
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model = BlenderbotForConditionalGeneration.from_pretrained("facebook/blenderbot-400M-distill")
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def chat_with_model(input_text):
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input_ids = tokenizer.encode("You: " + input_text, return_tensors="pt", max_length=512, truncation=True)
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response_ids = model.generate(input_ids, max_length=100, num_return_sequences=1, no_repeat_ngram_size=2)
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reply = tokenizer.decode(response_ids[0], skip_special_tokens=True)
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return reply
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custom_css = """
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<style>
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.gr-form-box {
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border: 2px solid #0074D9;
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border-radius: 10px;
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background-color: #F5F5F5;
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padding: 10px;
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}
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.gr-textbox {
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background-color: #EAEAEA;
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border: 1px solid #0074D9;
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border-radius: 5px;
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padding: 5px;
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}
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.gr-button {
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background-color: #0074D9;
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color: #FFFFFF;
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border: 2px solid #0074D9;
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border-radius: 5px;
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padding: 5px 10px;
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}
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</style>
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"""
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iface = gr.Interface(
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fn=chat_with_model,
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inputs=gr.Textbox(prompt="You:"),
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outputs=gr.Textbox(prompt="Bot:"),
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live=True,
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custom_css=custom_css # Add your custom CSS styles here
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)
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iface.launch()
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