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Update app.py
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app.py
CHANGED
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import torch
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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import spaces
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model_id = "google/flan-t5-base"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
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@spaces.GPU
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def respond(message, history=[]):
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prompt = f"
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inputs = tokenizer(prompt, return_tensors="pt").to(
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return history
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gr.ChatInterface(fn=respond)
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import torch
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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model_id = "google/flan-t5-base"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model.to(device)
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def respond(message, history=[]):
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prompt = f"Question: {message} Answer:"
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inputs = tokenizer(prompt, return_tensors="pt").to(device)
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with torch.no_grad():
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outputs = model.generate(
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**inputs,
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max_new_tokens=50,
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do_sample=False,
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eos_token_id=tokenizer.eos_token_id
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)
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answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Убираем из ответа префикс prompt, если он остался
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if answer.lower().startswith(prompt.lower()):
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answer = answer[len(prompt):].strip()
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history.append((message, answer))
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return history
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iface = gr.ChatInterface(fn=respond, title="Innopolis Q&A")
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iface.launch()
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