requirements.txt

app.py

@@ -0,0 +1,52 @@
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+# Set page config for Urdu (right-to-left support)
+st.set_page_config(page_title="اردو AI", layout="centered")
+
+# Load the Urdu model and tokenizer
+model_name = "m3hrdadfi/mt5-small-finetuned-urdu-sentiment"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+# Custom CSS for Urdu font and RTL support
+st.markdown("""
+<style>
+    body {
+        font-family: "Noto Sans Urdu", sans-serif;
+        direction: rtl;
+        text-align: right;
+    }
+</style>
+""", unsafe_allow_html=True)
+
+# Title
+st.title("🕌 اردو AI مددگار")
+
+# Chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat history
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"], unsafe_allow_html=True)
+
+# User input
+user_input = st.chat_input("اپنا پیغام یہاں لکھیں...")
+
+# Generate response
+if user_input:
+    # Add user message to history
+    st.session_state.messages.append({"role": "user", "content": user_input})
+    
+    # Tokenize input and generate response
+    inputs = tokenizer.encode(user_input, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=100)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    
+    # Add AI response to history
+    st.session_state.messages.append({"role": "assistant", "content": response})
+    
+    # Rerun to update the UI
+    st.rerun()