Update app.py

app.py

@@ -1,6 +1,5 @@
 !pip install gradio groq openai-whisper gtts
 
-
 import os
 import gradio as gr
 from groq import Groq
@@ -9,35 +8,42 @@ from gtts import gTTS
 import tempfile
 
 # Set up Groq API key
-os.environ['GROQ_API_KEY'] = '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'
+os.environ['GROQ_API_KEY'] = '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'  # Replace with your valid key
 groq_client = Groq(api_key=os.environ.get('GROQ_API_KEY'))
 
 # Load Whisper model
 whisper_model = whisper.load_model("base")
 
 def process_audio(audio_file):
-    # Transcribe audio using Whisper
-    result = whisper_model.transcribe(audio_file)
-    user_text = result['text']
-
-    # Generate response using Llama 8b model with Groq API
-    chat_completion = groq_client.chat.completions.create(
-        messages=[
-            {
-                "role": "user",
-                "content": user_text,
-            }
-        ],
-        model="llama3-8b-8192",
-    )
-    response_text = chat_completion.choices[0].message.content
-
-    # Convert response text to speech using gTTS
-    tts = gTTS(text=response_text, lang='en')
-    audio_file = tempfile.NamedTemporaryFile(delete=False, suffix='.mp3')
-    tts.save(audio_file.name)
-
-    return response_text, audio_file.name
+    try:
+        # Transcribe audio using Whisper
+        result = whisper_model.transcribe(audio_file)
+        user_text = result['text']
+
+        # Generate response using Llama 8b model with Groq API
+        chat_completion = groq_client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": user_text,
+                }
+            ],
+            model="llama3-8b-8192",
+        )
+        response_text = chat_completion.choices[0].message.content
+
+        # Convert response text to speech using gTTS
+        tts = gTTS(text=response_text, lang='en')
+        
+        # Saving to a temporary file
+        audio_file = tempfile.NamedTemporaryFile(delete=False, suffix='.mp3')
+        tts.save(audio_file.name)
+
+        return response_text, audio_file.name
+
+    except Exception as e:
+        print("Error:", e)
+        return str(e), None
 
 # Create Gradio interface
 iface = gr.Interface(
@@ -47,4 +53,5 @@ iface = gr.Interface(
     live=True
 )
 
-iface.launch()
+iface.launch()
+