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Browse files- Agent_1.py +29 -0
- requirements.txt +3 -3
Agent_1.py
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import streamlit as st
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from transformers import pipeline
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st.set_page_config(page_title="AI Chatbot", layout="centered")
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st.title("🤖 Free AI Chatbot")
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# Load the model once
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@st.cache_resource
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def load_model():
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return pipeline("text2text-generation", model="google/flan-t5-base")
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chatbot = load_model()
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# Input box
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user_input = st.text_input("You:", "")
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# Response output
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if user_input:
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prompt = f"Answer this clearly and briefly: {user_input}"
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response = chatbot(prompt, max_length=100, do_sample=False)[0]['generated_text']
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st.markdown(f"**Bot:** {response}")
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#streamlit run Agent_1.py
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#what is computer engineering?
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#what is machine learning?
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#what is artifical intelligence?
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#what is deep learning model?
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requirements.txt
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streamlit
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transformers
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torch
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streamlit
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