Update app.py

app.py

@@ -155,80 +155,38 @@ def detect_emotion(user_input):
     
     return emotion_msg, resources, video_link
 
+# Create the interface with multiple buttons
+def interface_function(message, action, history):
+    history = history or []
 
-# Google Geocoding API setup to convert city name to latitude/longitude
-geocode_url = "https://maps.googleapis.com/maps/api/geocode/json"
-
-def get_lat_lon(location, api_key):
-    params = {
-        "address": location,
-        "key": api_key
-    }
-    response = requests.get(geocode_url, params=params)
-    if response.status_code == 200:
-        result = response.json()
-        if result['status'] == 'OK':
-            # Return the first result's latitude and longitude
-            location = result['results'][0]['geometry']['location']
-            return location['lat'], location['lng']
-    return None, None
-
-# Google Places API setup for wellness professionals
-url = "https://maps.googleapis.com/maps/api/place/textsearch/json"
-places_details_url = "https://maps.googleapis.com/maps/api/place/details/json"
-api_key = os.getenv("GOOGLE_API_KEY")  # Use environment variable for security
-
-# Function to get places data using Google Places API
-def get_places_data(query, location, radius, api_key, next_page_token=None):
-    params = {
-        "query": query,
-        "location": location,
-        "radius": radius,
-        "key": api_key
-    }
-
-    if next_page_token:
-        params["pagetoken"] = next_page_token
-
-    response = requests.get(url, params=params)
-    if response.status_code == 200:
-        return response.json()
-    else:
-        return None
-
-# Web scraping function to get wellness professional data (alternative to API)
-def scrape_wellness_professionals(query, location):
-    # User-Agent header to simulate a browser request
-    headers = {
-        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
-    }
+    if action == "Chat":
+        # Use chat function if 'Chat' button is clicked
+        history, _ = chat(message, history)
+        return history, history
     
-    search_url = f"https://www.google.com/search?q={query}+near+{location}"
+    elif action == "Detect Emotion":
+        # Detect emotion if 'Detect Emotion' button is clicked
+        emotion_msg, resources, video_link = detect_emotion(message)
+        result = f"Emotion: {emotion_msg}\nResources:\n"
+        for res in resources:
+            result += f"- {res['subject']}: {res['link']}\n"
+        result += f"Suggested Video: {video_link}"
+        return result, history
     
-    # Make a request to the search URL with headers
-    response = requests.get(search_url, headers=headers)
-    if response.status_code == 200:
-        soup = BeautifulSoup(response.text, 'html.parser')
-        
-        # Find the results based on HTML structure
-        # Note: This is a simplistic example, Google search results structure may change
-        result_divs = soup.find_all("div", class_="BVG0Nb")
-        
-        results = []
-        for div in result_divs:
-            name = div.get_text()
-            link = div.find("a")["href"]
-            results.append({"name": name, "link": link})
-        
-        return results
-    else:
-        return None
-
-# Initialize the chatbot interface
+    elif action == "Wellness Resources":
+        # Return wellness resources if 'Wellness Resources' button is clicked
+        result = "Here are some wellness resources you can explore:\n"
+        result += "1. Mental Health Support: https://www.helpguide.org/mental-health/mental-health-support.htm\n"
+        result += "2. Meditation Guide: https://www.headspace.com/meditation\n"
+        return result, history
+
+# Gradio interface with multiple buttons
 iface = gr.Interface(
-    fn=chat,
-    inputs=["text", "state"],
-    outputs=["chatbot", "state"],
+    fn=interface_function,
+    inputs=[gr.Textbox(label="Enter message"), 
+            gr.Radio(["Chat", "Detect Emotion", "Wellness Resources"], label="Choose Action"), 
+            gr.State()],
+    outputs=[gr.Textbox(label="Response"), gr.State()],
     allow_flagging="never",
     live=True
 )