Update app.py

app.py

@@ -1,14 +1,15 @@
 # Import necessary libraries
 import os
 
-# Install required libraries
+# Ensure required libraries are installed
 try:
     import whisper
     import gtts
     import gradio as gr
     from groq import Groq
 except ImportError:
-    os.system("pip install git+https://github.com/openai/whisper.git gtts gradio groq")
+    print("Required libraries not found. Please install them.")
+    exit(1)  # Exit the script if the libraries are not found
 
 # Load Whisper model
 model = whisper.load_model("base")
@@ -25,21 +26,25 @@ client = Groq(api_key=Groq_api_key)
 
 # Function to transcribe audio
 def transcribe_audio(audio_path):
-    result = model.transcribe(audio_path)
-    return result["text"]
+    try:
+        result = model.transcribe(audio_path)
+        return result["text"]
+    except Exception as e:
+        return f"Error transcribing audio: {str(e)}"
 
 # Function to get response from Groq's API
 def get_groq_response(transcribed_text):
-    chat_completion = client.chat.completions.create(
-        messages=[
-            {
+    try:
+        chat_completion = client.chat.completions.create(
+            messages=[{
                 "role": "user",
                 "content": transcribed_text,
-            }
-        ],
-        model="llama3-8b-8192",
-    )
-    return chat_completion.choices[0].message.content
+            }],
+            model="llama3-8b-8192",
+        )
+        return chat_completion.choices[0].message.content
+    except Exception as e:
+        return f"Error getting response from Groq: {str(e)}"
 
 # Function to convert text to speech
 def text_to_speech(text):