Update app.py
Browse files
app.py
CHANGED
@@ -5,14 +5,11 @@ from gtts import gTTS
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import io
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from groq import Groq
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import time
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import requests
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# Ensure GROQ_API_KEY
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GROQ_API_KEY =
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if not GROQ_API_KEY or not GOOGLE_CLOUD_API_KEY:
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raise ValueError("API keys are not set.")
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# Initialize the Groq client
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client = Groq(api_key=GROQ_API_KEY)
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@@ -20,39 +17,6 @@ client = Groq(api_key=GROQ_API_KEY)
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# Load the Whisper model
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model = whisper.load_model("base") # Ensure this model supports Urdu; otherwise, choose a suitable model
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def get_weather_data(location):
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"""Fetch real-time weather data for a given location."""
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try:
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# Example endpoint for Google Maps Geocoding API
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endpoint = f"https://maps.googleapis.com/maps/api/geocode/json"
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params = {
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"address": location,
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"key": GOOGLE_CLOUD_API_KEY
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}
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response = requests.get(endpoint, params=params)
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data = response.json()
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if data["status"] == "OK":
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# Extract latitude and longitude
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lat = data["results"][0]["geometry"]["location"]["lat"]
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lng = data["results"][0]["geometry"]["location"]["lng"]
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# Fetch weather data (example using another weather API)
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weather_endpoint = f"http://api.weatherapi.com/v1/current.json"
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weather_params = {
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"key": "aa4db8152e46c2f3fb19fad5d58a0ed8", # Replace with your actual weather API key
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"q": f"{lat},{lng}"
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}
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weather_response = requests.get(weather_endpoint, params=weather_params)
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weather_data = weather_response.json()
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return f"Temperature: {weather_data['current']['temp_c']}°C, Condition: {weather_data['current']['condition']['text']}"
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else:
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return "Weather data not available for the specified location."
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except Exception as e:
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return f"An error occurred while fetching weather data: {e}"
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def process_audio(file_path):
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try:
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# Load the audio file
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@@ -71,14 +35,8 @@ def process_audio(file_path):
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# Access the response using dot notation
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response_message = chat_completion.choices[0].message.content.strip()
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# Get weather data based on the text (assuming it includes location information)
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weather_data = get_weather_data(text) # You may need to refine how location is extracted
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# Append weather data to the response
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full_response_message = f"{response_message}\n\n{weather_data}"
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# Convert the response text to Urdu speech
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tts = gTTS(
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response_audio_io = io.BytesIO()
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tts.write_to_fp(response_audio_io) # Save the audio to the BytesIO object
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response_audio_io.seek(0)
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@@ -91,7 +49,7 @@ def process_audio(file_path):
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audio_file.write(response_audio_io.getvalue())
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# Return the response text and the path to the saved audio file
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return
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except Exception as e:
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return f"An error occurred: {e}", None
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@@ -103,4 +61,4 @@ iface = gr.Interface(
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live=True # Set to False if you do not need real-time updates
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)
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iface.launch()
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import io
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from groq import Groq
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import time
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# Ensure GROQ_API_KEY is defined
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GROQ_API_KEY ="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"
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if not GROQ_API_KEY:
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raise ValueError("GROQ_API_KEY is not set in environment variables.")
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# Initialize the Groq client
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client = Groq(api_key=GROQ_API_KEY)
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# Load the Whisper model
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model = whisper.load_model("base") # Ensure this model supports Urdu; otherwise, choose a suitable model
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def process_audio(file_path):
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try:
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# Load the audio file
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# Access the response using dot notation
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response_message = chat_completion.choices[0].message.content.strip()
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# Convert the response text to Urdu speech
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tts = gTTS(response_message, lang='ur') # Specify language 'ur' for Urdu
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response_audio_io = io.BytesIO()
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tts.write_to_fp(response_audio_io) # Save the audio to the BytesIO object
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response_audio_io.seek(0)
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audio_file.write(response_audio_io.getvalue())
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# Return the response text and the path to the saved audio file
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return response_message, response_audio_path
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except Exception as e:
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return f"An error occurred: {e}", None
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live=True # Set to False if you do not need real-time updates
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)
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iface.launch()
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