Update app.py

app.py

@@ -245,60 +245,4 @@ if __name__ == "__main__":
     demo = create_gradio_interface()
     demo.launch()
 else:
-    demo = create_gradio_interface()/////////////////////////////////////openai_tts_tool.py// from openai import OpenAI
-import tempfile
-import os
-
-def generate_audio_and_text(api_key, input_text, model_name, voice_type, voice_speed, language, output_option, summary_length, additional_prompt):
-    if not input_text:
-        return None, "No input text provided"
-    
-    try:
-        client = OpenAI(api_key=api_key)
-        
-        # Generate summary if requested
-        summary_text = None
-        if output_option in ["summary_text", "both"]:
-            summary_prompt = f"Summarize the following text in approximately {summary_length} words. {additional_prompt or ''}\n\nText: {input_text}"
-            
-            summary_response = client.chat.completions.create(
-                model=model_name,
-                messages=[{"role": "user", "content": summary_prompt}]
-            )
-            summary_text = summary_response.choices[0].message.content
-        
-        # Generate audio if requested
-        audio_file = None
-        if output_option in ["audio", "both"]:
-            speech_response = client.audio.speech.create(
-                model="tts-1",  # or "tts-1-hd" for higher quality
-                voice=voice_type,
-                input=input_text,
-                speed=float(voice_speed)
-            )
-            
-            # Create temp directory if it doesn't exist
-            temp_dir = os.path.join(os.getcwd(), 'temp')
-            if not os.path.exists(temp_dir):
-                os.makedirs(temp_dir)
-            
-            # Save the audio to a temporary file
-            audio_path = os.path.join(temp_dir, f"output_{hash(input_text)}.mp3")
-            with open(audio_path, "wb") as f:
-                for chunk in speech_response.iter_bytes():
-                    f.write(chunk)
-            
-            audio_file = audio_path
-        
-        # Return based on output option
-        if output_option == "summary_text":
-            return None, summary_text
-        elif output_option == "audio":
-            return audio_file, None
-        elif output_option == "both":
-            return audio_file, summary_text
-            
-    except Exception as e:
-        return None, f"Error: {str(e)}"
-    
-    return None, None
+    demo = create_gradio_interface()