Create app.py

app.py

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+import gradio as gr
+import openai
+import os
+import json
+
+# Load the API key from a JSON file for security
+with open("config.json") as config_file:
+    config = json.load(config_file)
+    openai.api_key = config.get("OPENAI_API_KEY")
+
+# Define the function that interacts with the ChatGPT API
+def chat_with_gpt(message, history):
+    # Prepare the messages for the API call
+    messages = []
+    for human, assistant in history:
+        messages.append({"role": "user", "content": human})
+        messages.append({"role": "assistant", "content": assistant})
+    messages.append({"role": "user", "content": message})
+    
+    # Make the API call to OpenAI
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",  # Or another model like "gpt-4"
+        messages=messages,
+        max_tokens=150,
+        temperature=0.7,
+        stream=True  # Enable streaming for a better user experience
+    )
+    
+    # Stream the response back to Gradio
+    full_response = ""
+    for chunk in response:
+        content = chunk.choices[0].delta.get("content", "")
+        full_response += content
+        yield full_response
+
+# Create the Gradio interface
+demo = gr.ChatInterface(
+    fn=chat_with_gpt,
+    chatbot=gr.Chatbot(height=500),
+    textbox=gr.Textbox(placeholder="Ask me a question...", container=False, scale=7),
+    title="ChatGPT API Chatbot",
+    theme="soft",
+    examples=["What is a large language model?", "Tell me a joke.", "Write a short Python function."],
+    cache_examples=False,
+    undo_btn="Delete Previous",
+    clear_btn="Clear",
+)
+
+# Launch the Gradio app
+demo.launch()