Create app.py

app.py

@@ -0,0 +1,47 @@
+import gradio as gr
+import subprocess
+import os
+import time
+import requests
+import json
+import threading
+
+# Start Rasa server in the background
+def start_rasa_server():
+    subprocess.Popen(["rasa", "run", "--enable-api", "--cors", "*", "--port", "5005"])
+    # Wait for server to start
+    time.sleep(10)
+
+# Start the Rasa server in a separate thread
+threading.Thread(target=start_rasa_server).start()
+
+# Function to send messages to Rasa and get responses
+def chat_with_rasa(message, history):
+    try:
+        # Send message to Rasa server
+        response = requests.post(
+            "http://localhost:5005/webhooks/rest/webhook",
+            json={"sender": "user", "message": message}
+        )
+        rasa_response = response.json()
+        
+        # Extract text from Rasa response
+        if rasa_response:
+            return "\n".join([msg.get("text", "") for msg in rasa_response])
+        else:
+            return "No response from the bot."
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Create Gradio interface
+chatbot = gr.Chatbot(title="Rasa Assistant")
+interface = gr.Interface(
+    fn=chat_with_rasa,
+    inputs=gr.Textbox(placeholder="Type your message here..."),
+    outputs="text",
+    title="Rasa Chatbot",
+    description="Chat with your Rasa assistant"
+)
+
+# Launch the interface
+interface.launch()