Update app.py

app.py

@@ -18,19 +18,19 @@ nltk.download('punkt')
 # Initialize the stemmer
 stemmer = LancasterStemmer()
 
-# Load intents.json
+# Load intents.json (directly in the app directory)
 try:
     with open("intents.json") as file:
         data = json.load(file)
 except FileNotFoundError:
-    raise FileNotFoundError("Error: 'intents.json' file not found. Ensure it exists in the current directory.")
+    raise FileNotFoundError("Error: 'intents.json' file not found in the app directory.")
 
-# Load preprocessed data from pickle
+# Load preprocessed data from pickle (directly in the app directory)
 try:
     with open("data.pickle", "rb") as f:
         words, labels, training, output = pickle.load(f)
 except FileNotFoundError:
-    raise FileNotFoundError("Error: 'data.pickle' file not found. Ensure it exists and matches the model.")
+    raise FileNotFoundError("Error: 'data.pickle' file not found in the app directory.")
 
 # Build the model structure
 net = tflearn.input_data(shape=[None, len(training[0])])
@@ -39,12 +39,12 @@ net = tflearn.fully_connected(net, 8)
 net = tflearn.fully_connected(net, len(output[0]), activation="softmax")
 net = tflearn.regression(net)
 
-# Load the trained model
+# Load the trained model (directly in the app directory)
 model = tflearn.DNN(net)
 try:
     model.load("MentalHealthChatBotmodel.tflearn")
 except FileNotFoundError:
-    raise FileNotFoundError("Error: Trained model file 'MentalHealthChatBotmodel.tflearn' not found.")
+    raise FileNotFoundError("Error: Trained model file 'MentalHealthChatBotmodel.tflearn' not found in the app directory.")
 
 # Function to process user input into a bag-of-words format
 def bag_of_words(s, words):
@@ -150,7 +150,7 @@ def provide_suggestions(emotion):
     return suggestions
 
 # Google Places API to get nearby wellness professionals
-api_key = "GOOGLE_API_KEY"  # Replace with your API key
+api_key = "YOUR_GOOGLE_API_KEY"  # Replace with your actual API key
 
 def get_places_data(query, location, radius, api_key, next_page_token=None):
     url = "https://maps.googleapis.com/maps/api/place/textsearch/json"
@@ -221,21 +221,3 @@ iface = gr.Interface(
     inputs=[
         gr.Textbox(label="Enter your message", placeholder="How are you feeling today?"),
         gr.Textbox(label="Enter your location (e.g., Hawaii, Oahu)", placeholder="Your location"),
-        gr.State()  # One state input
-    ],
-    outputs=[
-        gr.Chatbot(label="Chat History"),
-        gr.Textbox(label="Sentiment Analysis"),
-        gr.Textbox(label="Detected Emotion"),
-        gr.Dataframe(label="Suggestions & Resources"),
-        gr.Dataframe(label="Nearby Wellness Professionals"),  # Display results as a table
-        gr.State()  # One state output
-    ],
-    allow_flagging="never",
-    title="Mental Wellbeing App with AI Assistance",
-    description="This app provides a mental health chatbot, sentiment analysis, emotion detection, and wellness professional search functionality.",
-)
-
-# Launch Gradio interface
-if __name__ == "__main__":
-    iface.launch(debug=True, share=True)  # Set share=True to create a public link