Create app.py
Browse files
app.py
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import streamlit as st
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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model = T5ForConditionalGeneration.from_pretrained("t5-small")
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tokenizer = T5Tokenizer.from_pretrained("t5-small")
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def generate_response(input_text):
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input_ids = tokenizer.encode("chatbot: " + input_text, return_tensors="pt", max_length=512)
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output_ids = model.generate(input_ids, max_length=100, num_beams=1, early_stopping=True)
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response = tokenizer.decode(output_ids[0], skip_special_tokens=True)
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return response
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# Set up Streamlit app
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st.title("Simple Chatbot with T5")
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user_input = st.text_input("You:", "")
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if st.button("Send"):
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if user_input.strip() != "":
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response = generate_response(user_input)
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st.text_area("Bot:", response)
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else:
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st.warning("Please enter a valid input.")
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