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app.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[5]:
+
+
+import gradio as gr
+import anthropic
+import base64
+import httpx
+import os
+import time
+import random
+import requests
+
+
+# In[8]:
+
+
+import gradio as gr
+import base64
+import requests
+import time
+
+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:
+        prompt = message
+        response = random.choice(["Noted. Will check that and get back", "Okay. Interesting!!","Hmm! Can you give me more info on this"]
+        response = (response.json())['response']
+        history.append((message, response))
+    return history, gr.Textbox(value=None, interactive=False)
+
+def bot(history):
+    for character in history[-1][1]:
+        history[-1][1] += character
+        time.sleep(0.05)
+        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)
+    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()
+

requirements.txt

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+anthropic
+gradio
+
+
+