Create app.py

app.py

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+import os
+import openai
+import gradio as gr
+
+# Set your OpenAI API key from environment variable
+openai.api_key = os.environ.get("OPENAI_API_KEY")
+
+# System prompt or initial role message
+SYSTEM_PROMPT = {
+    "role": "system", 
+    "content": "You are ZEN AI, a helpful assistant from zenai.world, trained to assist users with valuable insights and solutions related to AI literacy, entrepreneurial strategies, and opportunities for growth."
+}
+
+def process_message(history, user_input, model, temperature):
+    # history: list of tuples (user, assistant)
+    # user_input: current user message
+    # model: model name (e.g., "gpt-4")
+    # temperature: float value for creativity
+
+    # Convert history to the format required by OpenAI
+    messages = [SYSTEM_PROMPT]
+    for user_msg, bot_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        messages.append({"role": "assistant", "content": bot_msg})
+
+    # Add the new user message
+    messages.append({"role": "user", "content": user_input})
+
+    # Get the response from OpenAI
+    response = openai.ChatCompletion.create(
+        model=model,
+        messages=messages,
+        temperature=temperature,
+        max_tokens=1024
+    )
+
+    # Extract and return the assistant's reply
+    assistant_reply = response.choices[0].message["content"]
+    return assistant_reply
+
+def chat_interface(user_input, history, model, temperature):
+    bot_reply = process_message(history, user_input, model, temperature)
+    history.append((user_input, bot_reply))
+    return history, history
+
+# Define Gradio blocks
+with gr.Blocks(theme="default") as demo:
+    gr.Markdown("<h1 align='center'>ZEN AI Chatbot</h1>")
+    gr.Markdown("Welcome to ZEN AI! Ask me anything about AI literacy, scaling businesses, and connecting with global opportunities.")
+    
+    with gr.Row():
+        model = gr.Dropdown(
+            ["gpt-3.5-turbo", "gpt-4"], 
+            value="gpt-4", 
+            label="OpenAI Model"
+        )
+        temperature = gr.Slider(
+            minimum=0, 
+            maximum=1, 
+            value=0.7, 
+            step=0.1, 
+            label="Temperature"
+        )
+
+    chatbot = gr.Chatbot()
+    state = gr.State([])  # maintain the conversation history
+    
+    with gr.Row():
+        user_input = gr.Textbox(
+            lines=1, 
+            placeholder="Ask your question here...",
+            label="Your Message"
+        )
+        submit_button = gr.Button("Submit")
+
+    submit_button.click(
+        chat_interface, 
+        inputs=[user_input, state, model, temperature],
+        outputs=[chatbot, state]
+    )
+
+    # Optionally, allow the user to clear the conversation
+    clear_button = gr.Button("Clear Conversation")
+    clear_button.click(lambda: [], None, chatbot)
+    clear_button.click(lambda: [], None, state)
+
+demo.launch(server_name="0.0.0.0", share=True)