Create app.py

app.py

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+import streamlit as st
+from langchain.llms import HuggingFaceHub
+from langchain.chains import ConversationChain
+from langchain.memory import ConversationBufferMemory
+import os
+
+# Configure page
+st.set_page_config(page_title="Tourism Chatbot", page_icon="🌍")
+
+# Title
+st.title("Tourism Assistant - مساعد السياحة")
+
+# Initialize session state for memory
+if "memory" not in st.session_state:
+    st.session_state.memory = ConversationBufferMemory(return_messages=True)
+
+# Initialize session state for chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Language selector
+language = st.selectbox("Choose Language / اختر اللغة", ["English", "العربية"])
+
+# Hugging Face API token
+hf_api_token = os.environ.get("HF_API_TOKEN", "")
+if not hf_api_token:
+    st.error("Hugging Face API token not found. Please set it in the Space secrets.")
+    st.stop()
+
+# Select the appropriate model based on language
+model_name = "bigscience/bloom" if language == "English" else "bigscience/bloom"
+
+# Initialize the language model
+llm = HuggingFaceHub(
+    repo_id=model_name,
+    huggingface_api_token=hf_api_token,
+    model_kwargs={"temperature": 0.7, "max_length": 512}
+)
+
+# Initialize conversation chain
+conversation = ConversationChain(
+    llm=llm,
+    memory=st.session_state.memory,
+    verbose=True
+)
+
+# Display chat history
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# User input
+if language == "English":
+    prompt = st.chat_input("Ask about tourist destinations, recommendations, or travel tips...")
+else:
+    prompt = st.chat_input("اسأل عن الوجهات السياحية أو التوصيات أو نصائح السفر...")
+
+# Process the user input
+if prompt:
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+
+    # Display user message
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    # Display assistant response with a spinner
+    with st.chat_message("assistant"):
+        with st.spinner("Thinking..."):
+            # Add context for tourism assistant
+            if language == "English":
+                full_prompt = f"You are a helpful tourism assistant. Answer the following question about travel and tourism: {prompt}"
+            else:
+                full_prompt = f"أنت مساعد سياحي مفيد. أجب عن السؤال التالي حول السفر والسياحة: {prompt}"
+
+            response = conversation.predict(input=full_prompt)
+            st.markdown(response)
+
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})
+
+# Sidebar with information
+with st.sidebar:
+    st.header("About this Chatbot")
+    if language == "English":
+        st.write(
+            "This is a tourism assistant that can help you with travel recommendations, destination information, and travel tips.")
+        st.write("Feel free to ask questions in English or Arabic!")
+    else:
+        st.write("هذا مساعد سياحي يمكنه مساعدتك في توصيات السفر ومعلومات الوجهة ونصائح السفر.")
+        st.write("لا تتردد في طرح الأسئلة باللغة الإنجليزية أو العربية!")