Create app.py

app.py

@@ -0,0 +1,77 @@
+import os
+import subprocess
+import threading
+import time
+import sys
+
+# Set environment variables to fix permission issues
+os.environ["MPLCONFIGDIR"] = "/tmp/matplotlib"
+os.environ["RASA_USER_HOME"] = "/tmp/rasa"
+os.environ["SQLALCHEMY_SILENCE_UBER_WARNING"] = "1"
+
+# Ensure models directory exists in writable location
+models_dir = "/tmp/models"
+if not os.path.exists(models_dir):
+    os.makedirs(models_dir, exist_ok=True)
+    print(f"Created models directory at {models_dir}")
+
+# Function to run Rasa action server
+def run_action_server():
+    print("Starting Rasa Action Server...")
+    try:
+        # Action server usually runs on port 5055
+        action_process = subprocess.Popen(
+            ["rasa", "run", "actions", "--port", "5055"],
+            stdout=subprocess.PIPE,
+            stderr=subprocess.STDOUT
+        )
+        
+        # Stream output for debugging
+        for line in action_process.stdout:
+            sys.stdout.write(f"[Action Server] {line.decode()}")
+            sys.stdout.flush()
+            
+    except Exception as e:
+        print(f"Error starting Action Server: {e}", file=sys.stderr)
+
+# Start the action server in a separate thread
+action_thread = threading.Thread(target=run_action_server, daemon=True)
+action_thread.start()
+
+# Wait a bit to let the action server initialize
+print("Waiting for Action Server to initialize...")
+time.sleep(10)
+
+# Start the main Rasa server
+print("Starting Rasa Main Server...")
+try:
+    # The endpoint config needs to point to the action server
+    cmd = [
+        "rasa", 
+        "run", 
+        "--enable-api", 
+        "--cors", "*", 
+        "--port", "7860",
+        "--endpoints", "endpoints.yml",  # Make sure endpoints.yml contains action_endpoint
+    ]
+    
+    # If a model file is found, use it
+    model_files = [f for f in os.listdir(".") if f.endswith(".tar.gz")]
+    if model_files:
+        print(f"Found model file: {model_files[0]}")
+        cmd.extend(["--model", model_files[0]])
+    
+    print(f"Running command: {' '.join(cmd)}")
+    rasa_process = subprocess.Popen(
+        cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT
+    )
+    
+    # Stream output for debugging
+    for line in rasa_process.stdout:
+        sys.stdout.write(f"[Rasa Server] {line.decode()}")
+        sys.stdout.flush()
+        
+except Exception as e:
+    print(f"Error starting Rasa server: {e}", file=sys.stderr)