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| import gradio as gr | |
| import anthropic | |
| import base64 | |
| import httpx | |
| import os | |
| import time | |
| import random | |
| import requests | |
| def print_like_dislike(x: gr.LikeData): | |
| print(x.index, x.value, x.liked) | |
| def add_message(history, message): | |
| # Since we're now using gr.Textbox, we only handle text inputs | |
| if message is not None: | |
| history.append((message, '')) | |
| print(history) | |
| return history, gr.Textbox(value=None, interactive=False) | |
| def bot(history): | |
| response = random.choice(["Noted. Will check that and get back", "Okay. Interesting!!","Hmm! Can you give me more info on this"]) | |
| history[-1][1] = "" | |
| for character in response: | |
| history[-1][1] += character | |
| time.sleep(0.1) | |
| yield history | |
| with gr.Blocks() as demo: | |
| chatbot = gr.Chatbot( | |
| [], | |
| elem_id="chatbot", | |
| bubble_full_width=False, | |
| ) | |
| # Use gr.Textbox for chat input | |
| chat_input = gr.Textbox(placeholder="Enter message ...", show_label=True, label = "Input prompt") | |
| chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input]) | |
| bot_msg = chat_msg.then(bot,chatbot,chatbot, api_name="bot_response") | |
| bot_msg.then(lambda: gr.Textbox(interactive=True), None, [chat_input]) | |
| chatbot.like(print_like_dislike, None, None) | |
| demo.queue() | |
| demo.launch() | |