Delete app.py

app.py

@@ -1,81 +0,0 @@
-import streamlit as st
-import openai
-
-# Set up the Streamlit page configuration
-st.set_page_config(page_title="NVIDIA OpenAI ChatGPT", layout="centered")
-
-# Sidebar for API key input
-with st.sidebar:
-    st.header("API Key Configuration")
-    api_key = st.text_input("Enter your NVIDIA API Key:", type="password")
-
-# Initialize session state for chat history
-if "messages" not in st.session_state:
-    st.session_state["messages"] = [{"role": "system", "content": "You are a helpful assistant."}]
-
-# Main Title
-st.title("NVIDIA OpenAI ChatGPT Interface")
-
-if not api_key:
-    st.warning("Please enter your API key in the sidebar to start.")
-else:
-    try:
-        # Configure the OpenAI client
-        openai.api_base = "https://integrate.api.nvidia.com/v1"
-        openai.api_key = api_key
-
-        # Create containers for chat history and input field
-        chat_container = st.container()
-        input_container = st.empty()  # Ensures the input stays fixed at the bottom
-
-        # Display the conversation
-        with chat_container:
-            # Display the conversation
-            for message in st.session_state["messages"]:
-                if message["role"] == "user":
-                    st.markdown(f"**🧑 You:** {message['content']}")
-                elif message["role"] == "assistant":
-                    st.markdown(f"**🤖 Bot:** {message['content']}")
-
-        with input_container:
-            # Input form for user messages
-            with st.form("chat_form", clear_on_submit=True):
-                user_input = st.text_input("Your message:", placeholder="Type your message here...")
-                submitted = st.form_submit_button("Send")
-
-        if submitted and user_input:
-            # Add the user's message to the chat history
-            st.session_state["messages"].append({"role": "user", "content": user_input})
-
-            # Display the user's message immediately
-            st.markdown(f"**🧑 You:** {user_input}")
-
-            # Fetch the assistant's response
-            with st.spinner("🤖 Bot is typing..."):
-                try:
-                    # Call the API
-                    response = openai.ChatCompletion.create(
-                        model="nvidia/llama-3.1-nemotron-70b-instruct",
-                        messages=st.session_state["messages"],
-                        temperature=0.5,
-                        top_p=0.7,
-                        max_tokens=1024,
-                        stream=True
-                    )
-
-                    # Stream response in real-time
-                    response_container = st.empty()
-                    full_response = ""
-                    for chunk in response:
-                        if chunk.choices[0].delta.content is not None:
-                            delta_content = chunk.choices[0].delta.content
-                            full_response += delta_content
-                            response_container.markdown(f"**🤖 Bot:** {full_response}")
-
-                    # Add the assistant's response to chat history
-                    st.session_state["messages"].append({"role": "assistant", "content": full_response})
-                except Exception as e:
-                    st.error(f"An error occurred while fetching the response: {e}")
-
-    except Exception as e:
-        st.error(f"Failed to configure OpenAI API: {e}")