Create app.py

app.py

@@ -0,0 +1,39 @@
+import streamlit as st
+from transformers import pipeline
+
+def model(sentence):
+    pipe = pipeline("translation", model="rudrashah/RLM-hinglish-translator") 
+    output = pipe(sentence)
+    output = output.replace("<bos>", "")
+    return output[len(sentence):].strip()
+
+def translate_hinglish_to_english(text):
+    translated_text = model(text)
+    st.session_state['translated_text'] = translated_text
+    return translated_text
+
+model("aapka name kya hai?")
+
+st.set_page_config(page_title="RLM-Translator", page_icon="🍕", layout="wide", initial_sidebar_state="collapsed")
+
+st.title("RLM-Translator")
+st.write("A simple Hinglish to English translator from Hugging Face by [Rudra Shah](https://huggingface.co/rudrashah/RLM-hinglish-translator).")
+
+col1, col2 = st.columns(2)
+
+with col1:
+    hinglish_text = st.text_area("Hinglish", height=300)
+
+with col2:
+    if "translated_text" in st.session_state:
+        st.text_area("English", value=st.session_state["translated_text"], height=300, key="")
+    else:
+        st.text_area("English", height=300, key="")
+
+if st.button("Translate", use_container_width=True, type="primary"):
+    if hinglish_text != "":
+        translated_text = translate_hinglish_to_english(hinglish_text)
+        st.session_state["translated_text"] = translated_text
+        st.rerun()
+    else:
+        st.error("Please enter some hinglish text to translate.")