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+ # Trying to make AI conversation
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+ for this fine-tuning of this model. here we use the **[dataset](abhijitgayen/cogo_chat)**
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+ # How to use this Model
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+ ```python
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+ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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+ model_id= "abhijitgayen/cogo-blenderbot"
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+ model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
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+
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+ UTTERANCE = "help me to book fcl"
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+ print("Human: ", UTTERANCE)
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+
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+ inputs = tokenizer([UTTERANCE], return_tensors="pt")
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+ reply_ids = model.generate(**inputs)
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+ print("Bot: ", tokenizer.batch_decode(reply_ids, skip_special_tokens=True)[0])
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+ ```
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+
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+ # Out Put
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+ Response is good but it is take time to give response..As chatbot a real time application. if it takes more than 20 sec , it is meaningless.