Duplicate from hhalim/streamlit_ChatGPT_Peer

Co-authored-by: halim <hhalim@users.noreply.huggingface.co>

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README.md

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+---
+title: Streamlit ChatGPT Peer
+emoji: 🏃
+colorFrom: pink
+colorTo: green
+sdk: streamlit
+sdk_version: 1.17.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: hhalim/streamlit_ChatGPT_Peer
+---
+
+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 transformers import AutoModelWithLMHead, AutoTokenizer
+
+# Title of the page
+st.title("Text Generation with Huggingface Model")
+
+# Tokenizer model selection
+model_name = st.selectbox("Select a Huggingface model",
+                         ["distilbert-base-cased",
+                          "gpt2",
+                          "xlm-roberta-base"])
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelWithLMHead.from_pretrained(model_name)
+
+# Text box where the user can enter the text
+text = st.text_area("Enter the text",
+                    "Type your text here...")
+
+# Generate the text
+if st.button("Generate"):
+    input_ids = tokenizer.encode(text, return_tensors="pt")
+    output_ids = model.generate(input_ids)[0]
+    generated_text = tokenizer.decode(output_ids)
+    st.write(generated_text)

requirements.txt

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+streamlit
+transformers
+torch