Create app.py

app.py

@@ -0,0 +1,87 @@
+import os
+from langchain.prompts import PromptTemplate
+from langchain.llms import OpenAI
+import gradio as gr
+import random
+import time
+from gradio_client import Client
+
+os.environ["OPENAI_API_KEY"] = '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'
+
+
+def get_response(query, history, llm):
+
+    client = Client("https://traversaal-fitx-ai.hf.space/")
+    result = client.predict(
+				query,	# str in 'query' Textbox component
+				history,	# str in 'history' Textbox component
+				api_name="/predict"
+    )
+    
+    return result
+
+
+llm = prepare_resources()
+
+custom_css = """
+<style>
+    .gr-chatbox-container {
+        border: 2px solid #007BFF;
+        border-radius: 5px;
+        padding: 10px;
+    }
+    .gr-chatbox-container .chat-history .history-item:nth-child(even) {
+        background-color: #f0f0f0;
+        border-radius: 5px;
+        margin: 5px 0;
+        padding: 10px;
+    }
+    .gr-chatbox-container .chat-input .text-box {
+        border: 2px solid #007BFF;
+        border-radius: 5px;
+        padding: 10px;
+    }
+    .gr-chatbox-container .chat-input button {
+        background-color: #007BFF;
+        color: white;
+        border: none;
+        border-radius: 5px;
+        padding: 10px 20px;
+        cursor: pointer;
+        transition: background-color 0.3s;
+    }
+    .gr-chatbox-container .chat-input button:hover {
+        background-color: #0056b3;
+    }
+    .gr-chatbox-container .chat-title {
+        font-size: 24px;
+        font-weight: bold;
+        margin-bottom: 10px;
+    }
+</style>
+"""
+
+def respond(message, chat_history):
+    if not chat_history:
+        # Display a welcome message if chat_history is empty
+        welcome_message = "Welcome to the AI Trainer Chatbot! I'm here to assist you with your questions."
+        chat_history = [(welcome_message, get_response(welcome_message, chat_history, llm))]
+    
+    bot_message = get_response(message, chat_history, llm)
+    chat_history.append(bot_message)
+    time.sleep(0.5)
+    return "", chat_history
+
+# Display the welcome message before creating the Gradio interface
+welcome_message = "Welcome to the AI Trainer Chatbot! I'm here to assist you with your questions."
+print(welcome_message)
+
+with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
+    chatbot_title = gr.HTML('<div class="chat-title">AI Trainer Chatbot</div>')
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(placeholder="I am your personal AI Trainer. Ask me a question")
+
+    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+
+
+demo.launch(debug=True)