Update app.py

app.py

@@ -3,13 +3,19 @@ import gradio as gr
 import whisper
 from gtts import gTTS
 import io
+import requests
 from groq import Groq
 import time
 
-# Ensure GROQ_API_KEY is defined
-GROQ_API_KEY ="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"
+# Ensure GROQ_API_KEY and OpenWeather API key are defined
+GROQ_API_KEY = "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"
+OPENWEATHER_API_KEY = "aa4db8152e46c2f3fb19fad5d58a0ed8"
+OPENWEATHER_URL = "https://api.openweathermap.org/data/2.5/weather"
+
 if not GROQ_API_KEY:
     raise ValueError("GROQ_API_KEY is not set in environment variables.")
+if not OPENWEATHER_API_KEY:
+    raise ValueError("OPENWEATHER_API_KEY is not set in environment variables.")
 
 # Initialize the Groq client
 client = Groq(api_key=GROQ_API_KEY)
@@ -17,6 +23,24 @@ 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 fetch_weather():
+    try:
+        response = requests.get(
+            OPENWEATHER_URL,
+            params={
+                'q': 'London',  # Change to dynamic city name as needed
+                'appid': OPENWEATHER_API_KEY,
+                'units': 'metric'
+            }
+        )
+        response.raise_for_status()
+        weather_data = response.json()
+        temp = weather_data['main']['temp']
+        weather_description = weather_data['weather'][0]['description']
+        return f"Current temperature is {temp}°C with {weather_description}."
+    except Exception as e:
+        return f"Unable to fetch weather data: {e}"
+
 def process_audio(file_path):
     try:
         # Load the audio file
@@ -26,14 +50,19 @@ def process_audio(file_path):
         result = model.transcribe(audio, language="ur")  # Specify 'ur' for Urdu
         text = result["text"]
 
-        # Generate a response in Urdu using Groq
-        chat_completion = client.chat.completions.create(
-            messages=[{"role": "user", "content": text}],
-            model="gemma2-9b-it",  # Ensure this model can handle Urdu
-        )
-
-        # Access the response using dot notation
-        response_message = chat_completion.choices[0].message.content.strip()
+        # Check if the text contains any weather-related keywords
+        weather_keywords = ['weather', 'temperature', 'climate', 'forecast']
+        if any(keyword in text.lower() for keyword in weather_keywords):
+            weather_info = fetch_weather()
+            response_message = f"The weather update: {weather_info}"
+        else:
+            # Generate a response in Urdu using Groq
+            chat_completion = client.chat.completions.create(
+                messages=[{"role": "user", "content": text}],
+                model="gemma2-9b-it",  # Ensure this model can handle Urdu
+            )
+            # Access the response using dot notation
+            response_message = chat_completion.choices[0].message.content.strip()
 
         # Convert the response text to Urdu speech
         tts = gTTS(response_message, lang='ur')  # Specify language 'ur' for Urdu
@@ -61,4 +90,4 @@ iface = gr.Interface(
     live=True  # Set to False if you do not need real-time updates
 )
 
-iface.launch()
+iface.launch()