Create app.py

app.py

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+import openai
+import streamlit as st
+
+openai.api_key = st.secrets["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"]
+
+# Fine-tuned model name
+MODEL_NAME = "ft:gpt-3.5-turbo-0125:brenin::AjNcIvnw"
+
+st.title("Chat with Fine-Tuned GPT-3.5 Turbo")
+st.markdown("This chatbot uses a fine-tuned GPT-3.5 Turbo model.")
+
+if "messages" not in st.session_state:
+    st.session_state.messages = [
+        {"role": "system", "content": "You are a German chatbot. You should help the user by answering their questions."}
+    ]
+
+user_input = st.text_input("Enter your question:")
+
+if user_input:
+    st.session_state.messages.append({"role": "user", "content": user_input})
+
+    try:
+        response = openai.ChatCompletion.create(
+            model=MODEL_NAME,
+            messages=st.session_state.messages
+        )
+        assistant_reply = response.choices[0].message.content
+        st.session_state.messages.append({"role": "assistant", "content": assistant_reply})
+    except Exception as e:
+        assistant_reply = f"Error: {str(e)}"
+
+    for message in st.session_state.messages:
+        if message["role"] == "user":
+            st.markdown(f"**User:** {message['content']}")
+        elif message["role"] == "assistant":
+            st.markdown(f"**Assistant:** {message['content']}")