Duplicate from thlanza/LLMsIntro

.env-sample

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+OPENAI_API_KEY=""

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README.md

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+---
+title: LLMsIntro
+emoji: 🚀
+colorFrom: green
+colorTo: indigo
+sdk: streamlit
+sdk_version: 1.26.0
+app_file: app.py
+pinned: false
+duplicated_from: thlanza/LLMsIntro
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+from langchain.llms import HuggingFaceHub
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+  
+
+# Answer:
+# [
+# 0:{
+# "generated_text":"I like rice I like rice I like rice I like ri"
+# }
+# ]
+
+#Function to return the response
+def load_answer(question):
+    tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/translation-pt-en-t5")
+    model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/translation-pt-en-t5")
+    pten_pipeline = pipeline('text2text-generation', model=model, tokenizer=tokenizer)
+    return pten_pipeline(question)[0]["generated_text"]
+
+#App UI starts here
+st.set_page_config(page_title="Lanza Chatbot", page_icon=":robot:")
+st.header("Lanza Chatbot")
+
+#Gets the user input
+def get_text():
+    input_text = st.text_input("You: ", key="input")
+    return input_text
+
+user_input=get_text()
+response = load_answer(user_input)
+
+submit = st.button('Generate')
+
+if submit:
+
+    st.subheader("Answer:")
+    st.write(response)

requirements.txt

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+langchain
+Openai
+Streamlit
+transformers
+torch