create the file app.py

app.py

@@ -0,0 +1,35 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load a Hugging Face chat model
+@st.cache_resource
+def load_chatbot():
+    return pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.1", max_new_tokens=200)
+
+chatbot = load_chatbot()
+
+# Streamlit UI
+st.title("💬 Chat with Mistral (Open Source ChatGPT)")
+st.markdown("Ask me anything!")
+
+if "history" not in st.session_state:
+    st.session_state.history = []
+
+user_input = st.text_input("Your message", "")
+
+if user_input:
+    st.session_state.history.append({"role": "user", "content": user_input})
+    
+    # Construct prompt
+    full_prompt = "\n".join(
+        [f"{m['role'].capitalize()}: {m['content']}" for m in st.session_state.history]
+    ) + "\nAssistant:"
+
+    response = chatbot(full_prompt)[0]["generated_text"]
+    # Get only the new assistant response
+    reply = response[len(full_prompt):].strip()
+    st.session_state.history.append({"role": "assistant", "content": reply})
+
+# Display chat history
+for message in st.session_state.history:
+    st.markdown(f"**{message['role'].capitalize()}:** {message['content']}")