import os import openai import gradio as gr # Set up OpenAI API credentials api_key = os.environ.get("OPENAI_API_KEY") openai.api_key = api_key # Define a function to generate a response to user input def generate_response(user_input): if "who created you" in user_input.lower(): chat_response = "I was created by Ram.V" elif "who is superstar" in user_input.lower(): chat_response = "The one and only * Superstar Rajinikanth * Thalaiva!" elif "what's on 10th aug" in user_input.lower(): chat_response = "Jailer Movie releasing! Alappara Kelappurom Thalaivaru Nerandharam!" elif "what is the weather like" in user_input.lower(): chat_response = "I'm sorry, but I don't have the ability to check the weather. Is there something else I can help you with?" elif "how are you" in user_input.lower(): chat_response = "I'm a chatbot created by Ram.V. I don't have feelings, but thanks for asking. Hope you're well! :-)" elif "what's your name" in user_input.lower(): chat_response = "My name is ChatRobo :-)" else: prompt = f"You said: {user_input}" # Generate a response using the OpenAI API response = openai.Completion.create( model="text-davinci-003", prompt=prompt, temperature=0.9, max_tokens=150, top_p=1, frequency_penalty=0, presence_penalty=0.6, stop=["Human:", "AI:"] ) # Extract the response from the API output chat_response = response.choices[0].text.strip() return chat_response # Define the function to handle the chat history def openai_chat_history(input, history): history = history or [] if input.strip() != "": s = list(sum(history, ())) s.append(input) inp = ' '.join(s) output = generate_response(inp) history.append((input, output)) return history[-1][1] else: return "" # Define the conversation prompt conversation_prompt = "Welcome to ChatRobo, kindly type in your enquiries: " # Set up the Gradio interface block = gr.Interface( fn=openai_chat_history, inputs=[gr.inputs.Textbox(placeholder=conversation_prompt)], outputs=[gr.outputs.Textbox(label="ChatRobo Output")] ) # Launch the Gradio interface block.launch()