Update app.py

app.py

@@ -6,13 +6,10 @@ import requests
 from gtts import gTTS
 from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
 from pydub import AudioSegment
-from groq import Groq
 
-RAPIDAPI_KEY = "0875969c18mshea4b5d106303222p197cb2jsnd47e91b7da30"
-GROQ_API_KEY = "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"
-
-# Initialize the Groq client
-client = Groq(api_key=GROQ_API_KEY)
+# Load environment variables for API keys
+RAPIDAPI_KEY = os.getenv('RAPIDAPI_LANG_TRANS')
+GROQ_API_KEY = os.getenv('GROQ_API_KEY')
 
 # Load the Whisper model
 processor = AutoProcessor.from_pretrained("ihanif/whisper-medium-urdu")
@@ -61,15 +58,22 @@ def process_audio(file_path):
         urdu_to_eng = translate("en", text)
         print(f"Translated Text (English): {urdu_to_eng}")  # Debugging step
 
-        # Generate a response using Groq
-        chat_completion = client.chat.completions.create(
-            messages=[{"role": "user", "content": urdu_to_eng}],
-            model="llama3-8b-8192",  # Ensure the model supports Urdu if possible
-            max_tokens=50
-        )
+        # Make API call to Groq
+        groq_url = "https://api.groq.com/your-endpoint"  # Replace with actual Groq API endpoint
+        groq_headers = {
+            "Authorization": f"Bearer {GROQ_API_KEY}",
+            "Content-Type": "application/json"
+        }
+        groq_payload = {
+            "messages": [{"role": "user", "content": urdu_to_eng}],
+            "model": "llama3-8b-8192",  # Adjust model if needed
+            "max_tokens": 50
+        }
+        response = requests.post(groq_url, json=groq_payload, headers=groq_headers)
+        chat_completion = response.json()
 
-        # Access the response using dot notation
-        response_message = chat_completion.choices[0].message.content.strip()
+        # Access the response
+        response_message = chat_completion["choices"][0]["message"]["content"].strip()
         print(f"Groq Response (English): {response_message}")  # Debugging step
 
         # Translate the response text back to Urdu