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Update app.py
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app.py
CHANGED
@@ -83,8 +83,7 @@ def chat(message, history):
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response = f"An error occurred: {str(e)}"
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history.append((message, response))
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return history,
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# Sentiment analysis setup
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tokenizer_sentiment = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment")
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@@ -98,97 +97,157 @@ def load_emotion_model():
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tokenizer_emotion, model_emotion = load_emotion_model()
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# Emotion detection function with suggestions in plain English
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def detect_emotion(user_input):
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pipe = pipeline("text-classification", model=model_emotion, tokenizer=tokenizer_emotion)
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result = pipe(user_input)
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emotion = result[0]['label']
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#
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if emotion == 'joy':
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emotion_msg = "You're feeling happy! Keep up the great mood!"
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resources = [
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{"subject": "Relaxation Techniques", "link": "https://www.helpguide.org/mental-health/meditation/mindful-breathing-meditation"},
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{"subject": "Dealing with Stress", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety"},
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{"subject": "Emotional Wellness Toolkit", "link": "https://www.nih.gov/health-information/emotional-wellness-toolkit"}
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]
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video_link = "Watch on YouTube: https://youtu.be/m1vaUGtyo-A"
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elif emotion == 'anger':
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emotion_msg = "You're feeling angry. It's okay to feel this way. Let's try to calm down."
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resources = [
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{"subject": "Emotional Wellness Toolkit", "link": "https://www.nih.gov/health-information/emotional-wellness-toolkit"},
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{"subject": "Stress Management Tips", "link": "https://www.health.harvard.edu/health-a-to-z"},
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{"subject": "Dealing with Anger", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety"}
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]
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video_link = "Watch on YouTube: https://youtu.be/MIc299Flibs"
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elif emotion == 'fear':
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emotion_msg = "You're feeling fearful. Take a moment to breathe and relax."
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resources = [
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{"subject": "Mindfulness Practices", "link": "https://www.helpguide.org/mental-health/meditation/mindful-breathing-meditation"},
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{"subject": "Coping with Anxiety", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety"},
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{"subject": "Emotional Wellness Toolkit", "link": "https://www.nih.gov/health-information/emotional-wellness-toolkit"}
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]
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video_link = "Watch on YouTube: https://youtu.be/yGKKz185M5o"
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elif emotion == 'sadness':
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emotion_msg = "You're feeling sad. It's okay to take a break."
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resources = [
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{"subject": "Emotional Wellness Toolkit", "link": "https://www.nih.gov/health-information/emotional-wellness-toolkit"},
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{"subject": "Dealing with Anxiety", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety"}
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]
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video_link = "Watch on YouTube: https://youtu.be/-e-4Kx5px_I"
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elif emotion == 'surprise':
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emotion_msg = "You're feeling surprised. It's okay to feel neutral!"
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resources = [
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{"subject": "Managing Stress", "link": "https://www.health.harvard.edu/health-a-to-z"},
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{"subject": "Coping Strategies", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety"}
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]
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video_link = "Watch on YouTube: https://youtu.be/m1vaUGtyo-A"
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else:
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emotion_msg = "Could not detect emotion."
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resources = []
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video_link = ""
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#
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def
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if action == "Chat":
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# Use chat function if 'Chat' button is clicked
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history,
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return history, history
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elif action == "Detect Emotion":
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#
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emotion_msg,
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result += f"Suggested Video: {video_link}"
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return result, history
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elif action == "Wellness Resources":
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#
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# Gradio
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iface = gr.Interface(
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fn=interface_function,
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inputs=[
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allow_flagging="never",
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live=True
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)
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iface.launch(share=True)
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response = f"An error occurred: {str(e)}"
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history.append((message, response))
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return history, response
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# Sentiment analysis setup
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tokenizer_sentiment = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sentiment")
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tokenizer_emotion, model_emotion = load_emotion_model()
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# Emotion detection function with suggestions in plain English and resources in table
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def detect_emotion(user_input):
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pipe = pipeline("text-classification", model=model_emotion, tokenizer=tokenizer_emotion)
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result = pipe(user_input)
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emotion = result[0]['label']
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# Define emotion-specific message and resources
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if emotion == 'joy':
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emotion_msg = "You're feeling happy! Keep up the great mood!"
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resources = [
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{"subject": "Relaxation Techniques", "heading": "Mindful Breathing Meditation", "link": "https://www.helpguide.org/mental-health/meditation/mindful-breathing-meditation", "video_url": "https://youtu.be/m1vaUGtyo-A"},
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{"subject": "Dealing with Stress", "heading": "Tips for Dealing with Anxiety", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety", "video_url": "https://youtu.be/m1vaUGtyo-A"},
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{"subject": "Emotional Wellness Toolkit", "heading": "Emotional Wellness Resources", "link": "https://www.nih.gov/health-information/emotional-wellness-toolkit", "video_url": "https://youtu.be/m1vaUGtyo-A"}
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]
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elif emotion == 'anger':
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emotion_msg = "You're feeling angry. It's okay to feel this way. Let's try to calm down."
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resources = [
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{"subject": "Emotional Wellness Toolkit", "heading": "Managing Emotions", "link": "https://www.nih.gov/health-information/emotional-wellness-toolkit", "video_url": "https://youtu.be/MIc299Flibs"},
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{"subject": "Stress Management Tips", "heading": "Managing Stress Effectively", "link": "https://www.health.harvard.edu/health-a-to-z", "video_url": "https://youtu.be/MIc299Flibs"},
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{"subject": "Dealing with Anger", "heading": "Strategies to Calm Anger", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety", "video_url": "https://youtu.be/MIc299Flibs"}
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]
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elif emotion == 'fear':
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emotion_msg = "You're feeling fearful. Take a moment to breathe and relax."
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resources = [
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{"subject": "Mindfulness Practices", "heading": "Breathing Techniques", "link": "https://www.helpguide.org/mental-health/meditation/mindful-breathing-meditation", "video_url": "https://youtu.be/yGKKz185M5o"},
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{"subject": "Coping with Anxiety", "heading": "Overcoming Fear", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety", "video_url": "https://youtu.be/yGKKz185M5o"},
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{"subject": "Emotional Wellness Toolkit", "heading": "Calming Your Mind", "link": "https://www.nih.gov/health-information/emotional-wellness-toolkit", "video_url": "https://youtu.be/yGKKz185M5o"}
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]
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elif emotion == 'sadness':
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emotion_msg = "You're feeling sad. It's okay to take a break."
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resources = [
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{"subject": "Emotional Wellness Toolkit", "heading": "Restoring Your Emotional Health", "link": "https://www.nih.gov/health-information/emotional-wellness-toolkit", "video_url": "https://youtu.be/-e-4Kx5px_I"},
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{"subject": "Dealing with Anxiety", "heading": "Coping Strategies for Stress", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety", "video_url": "https://youtu.be/-e-4Kx5px_I"}
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]
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elif emotion == 'surprise':
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emotion_msg = "You're feeling surprised. It's okay to feel neutral!"
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resources = [
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{"subject": "Managing Stress", "heading": "Relaxation Tips", "link": "https://www.health.harvard.edu/health-a-to-z", "video_url": "https://youtu.be/m1vaUGtyo-A"},
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{"subject": "Coping Strategies", "heading": "Dealing with Unexpected Events", "link": "https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety", "video_url": "https://youtu.be/m1vaUGtyo-A"}
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]
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else:
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emotion_msg = "Could not detect emotion."
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resources = []
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# Create a DataFrame for resources to display in table format
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resource_df = pd.DataFrame(resources)
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return emotion_msg, resource_df
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# Google Geocoding API setup to convert city name to latitude/longitude
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geocode_url = "https://maps.googleapis.com/maps/api/geocode/json"
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def get_lat_lon(location, api_key):
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params = {
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"address": location,
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"key": api_key
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}
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response = requests.get(geocode_url, params=params)
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if response.status_code == 200:
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result = response.json()
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if result['status'] == 'OK':
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# Return the first result's latitude and longitude
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location = result['results'][0]['geometry']['location']
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return location['lat'], location['lng']
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return None, None
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# Google Places API setup for wellness professionals
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url = "https://maps.googleapis.com/maps/api/place/textsearch/json"
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places_details_url = "https://maps.googleapis.com/maps/api/place/details/json"
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api_key = os.getenv("GOOGLE_API_KEY") # Use environment variable for security
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# Function to get places data using Google Places API
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def get_places_data(query, location, radius, api_key, next_page_token=None):
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params = {
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'query': query,
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'location': location,
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'radius': radius,
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'key': api_key
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}
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if next_page_token:
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params['pagetoken'] = next_page_token
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response = requests.get(url, params=params)
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return response.json()
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# Function to fetch wellness professionals
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def get_wellness_professionals(location, api_key):
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lat, lon = get_lat_lon(location, api_key)
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if lat and lon:
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places = get_places_data("wellness professional", f"{lat},{lon}", 10000, api_key)
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if places and 'results' in places:
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professionals = []
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for place in places['results']:
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name = place.get("name", "No name available")
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rating = place.get("rating", "No rating available")
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address = place.get("formatted_address", "No address available")
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professionals.append({
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"Name": name,
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"Rating": rating,
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"Address": address
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})
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professionals_df = pd.DataFrame(professionals)
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return professionals_df
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else:
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return "No wellness professionals found nearby."
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else:
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return "Location not found. Please check the location."
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# Gradio interface function to handle actions and outputs
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def interface_function(message, action, location, history):
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history = history or []
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if action == "Chat":
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# Use chat function if 'Chat' button is clicked
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history, response = chat(message, history)
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elif action == "Detect Emotion":
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# Use emotion detection if 'Detect Emotion' button is clicked
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emotion_msg, resource_df = detect_emotion(message)
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response = emotion_msg
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# Return the resource DataFrame as a table
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return history, response, resource_df
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elif action == "Wellness Resources":
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# Use location to get wellness professionals if 'Wellness Resources' is clicked
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if not location.strip():
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response = "Please enter a valid location."
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else:
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professionals_df = get_wellness_professionals(location, api_key)
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if isinstance(professionals_df, pd.DataFrame):
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response = "Found wellness professionals nearby:"
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return history, response, professionals_df
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else:
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response = professionals_df # If error message is returned
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return history, response, None
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return history, "Invalid action", None
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# Gradio Interface with table outputs for emotion and wellness professionals
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iface = gr.Interface(
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fn=interface_function,
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inputs=["text", "radio", "text", "state"],
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outputs=["text", "dataframe"],
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live=True,
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allow_flagging="never"
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)
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iface.launch(share=True)
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