Update app.py

app.py

@@ -5,11 +5,14 @@ from gtts import gTTS
 import io
 from groq import Groq
 import time
+import requests
 
-# Ensure GROQ_API_KEY is defined
-GROQ_API_KEY ="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"
-if not GROQ_API_KEY:
-    raise ValueError("GROQ_API_KEY is not set in environment variables.")
+# Ensure GROQ_API_KEY and GOOGLE_CLOUD_API_KEY are defined
+GROQ_API_KEY = "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"
+GOOGLE_CLOUD_API_KEY = "AIzaSyBP5XGE4ZtrH2nBJZb7qe3Pjhw61rQvjBM"
+
+if not GROQ_API_KEY or not GOOGLE_CLOUD_API_KEY:
+    raise ValueError("API keys are not set.")
 
 # Initialize the Groq client
 client = Groq(api_key=GROQ_API_KEY)
@@ -17,6 +20,39 @@ client = Groq(api_key=GROQ_API_KEY)
 # Load the Whisper model
 model = whisper.load_model("base")  # Ensure this model supports Urdu; otherwise, choose a suitable model
 
+def get_weather_data(location):
+    """Fetch real-time weather data for a given location."""
+    try:
+        # Example endpoint for Google Maps Geocoding API
+        endpoint = f"https://maps.googleapis.com/maps/api/geocode/json"
+        params = {
+            "address": location,
+            "key": GOOGLE_CLOUD_API_KEY
+        }
+        response = requests.get(endpoint, params=params)
+        data = response.json()
+
+        if data["status"] == "OK":
+            # Extract latitude and longitude
+            lat = data["results"][0]["geometry"]["location"]["lat"]
+            lng = data["results"][0]["geometry"]["location"]["lng"]
+
+            # Fetch weather data (example using another weather API)
+            weather_endpoint = f"http://api.weatherapi.com/v1/current.json"
+            weather_params = {
+                "key": "aa4db8152e46c2f3fb19fad5d58a0ed8",  # Replace with your actual weather API key
+                "q": f"{lat},{lng}"
+            }
+            weather_response = requests.get(weather_endpoint, params=weather_params)
+            weather_data = weather_response.json()
+            
+            return f"Temperature: {weather_data['current']['temp_c']}°C, Condition: {weather_data['current']['condition']['text']}"
+        else:
+            return "Weather data not available for the specified location."
+
+    except Exception as e:
+        return f"An error occurred while fetching weather data: {e}"
+
 def process_audio(file_path):
     try:
         # Load the audio file
@@ -35,8 +71,14 @@ def process_audio(file_path):
         # Access the response using dot notation
         response_message = chat_completion.choices[0].message.content.strip()
 
+        # Get weather data based on the text (assuming it includes location information)
+        weather_data = get_weather_data(text)  # You may need to refine how location is extracted
+
+        # Append weather data to the response
+        full_response_message = f"{response_message}\n\n{weather_data}"
+
         # Convert the response text to Urdu speech
-        tts = gTTS(response_message, lang='ur')  # Specify language 'ur' for Urdu
+        tts = gTTS(full_response_message, lang='ur')  # Specify language 'ur' for Urdu
         response_audio_io = io.BytesIO()
         tts.write_to_fp(response_audio_io)  # Save the audio to the BytesIO object
         response_audio_io.seek(0)
@@ -49,7 +91,7 @@ def process_audio(file_path):
             audio_file.write(response_audio_io.getvalue())
 
         # Return the response text and the path to the saved audio file
-        return response_message, response_audio_path
+        return full_response_message, response_audio_path
 
     except Exception as e:
         return f"An error occurred: {e}", None