Update app.py

app.py

@@ -3,8 +3,6 @@ import asyncio
 import tempfile
 import logging
 import edge_tts
-import google.generativeai as genai
-from typing import Optional, Tuple
 import os
 import nest_asyncio
 
@@ -15,10 +13,6 @@ nest_asyncio.apply()
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-# Initialize Gemini - Replace with your actual API key or use environment variable
-GEMINI_API_KEY = os.getenv("GEMINI_API_KEY", "AIzaSyCnpKy4zRvs2xx4Lm11SJ7gEbDZJR0vFrc")
-genai.configure(api_key=GEMINI_API_KEY)
-
 # Voice Configuration (Updated for edge-tts 6.x)
 VOICES = {
     "English": {
@@ -36,20 +30,8 @@ VOICES = {
     }
 }
 
-class ContentGenerator:
-    def __init__(self):
-        self.model = genai.GenerativeModel('gemini-pro')
-
-    def generate(self, prompt: str) -> str:
-        try:
-            response = self.model.generate_content(prompt)
-            return response.text
-        except Exception as e:
-            logger.error(f"Gemini error: {str(e)}")
-            return f"⚠️ Content generation failed. Error: {str(e)}"
-
 async def text_to_speech(text: str, language: str, voice_type: str, 
-                        rate: int, pitch: int) -> Tuple[Optional[str], Optional[str]]:
+                        rate: int, pitch: int) -> tuple:
     try:
         if not text.strip():
             return None, "No text provided"
@@ -79,15 +61,20 @@ async def process_request(content_type: str, language: str, voice_type: str,
                         length: int, theme: str, custom: str,
                         rate: int, pitch: int):
     try:
-        # Generate prompt
-        prompt = f"""Generate {length} words of {content_type} content in {language}.
-Theme: {theme}
-Additional instructions: {custom if custom else 'None'}
-Format the text for optimal text-to-speech conversion."""
+        # Generate sample content (replace with your actual content generation)
+        text_content = f"""**Generated {content_type} Content**
         
-        # Generate content
-        generator = ContentGenerator()
-        text_content = generator.generate(prompt)
+Language: {language}
+Length: ~{length} words
+Theme: {theme}
+
+This is a sample generated content. In a real implementation, this would be:
+- Properly formatted for TTS
+- Tailored to your specifications
+- Generated by an AI model
+
+Custom instructions: {custom if custom else 'None'}
+"""
         
         # Convert to speech
         audio_path, error = await text_to_speech(
@@ -103,7 +90,7 @@ Format the text for optimal text-to-speech conversion."""
 def create_interface():
     with gr.Blocks(title="AI VoiceCraft", theme=gr.themes.Soft()) as app:
         gr.Markdown("""# 🎙️ AI VoiceCraft Studio  
-        *Generate content with Gemini and convert to natural speech*""")
+        *Generate content and convert to natural speech*""")
         
         with gr.Row():
             with gr.Column():
@@ -147,4 +134,4 @@ def create_interface():
 
 if __name__ == "__main__":
     app = create_interface()
-    app.queue(concurrency_count=3).launch()
+    app.queue().launch()