Update app.py

app.py

@@ -47,9 +47,6 @@ def generate_podcast(file, url, tone, length):
             audio_segments.append(audio_segment)
             transcript += f"**{item.speaker}**: {item.text}\n\n"
             os.remove(audio_file)  # Clean up temporary audio file
-            
-            # Yield progress updates
-            yield None, f"Generating audio for {item.speaker}..."
     except Exception as e:
         raise gr.Error(f"Error generating audio: {str(e)}")
     
@@ -61,4 +58,44 @@ def generate_podcast(file, url, tone, length):
     
     return temp_audio_path, transcript
 
-# The rest of the app.py file remains the same...
+instructions = """
+# Podcast Generator
+
+Welcome to the Podcast Generator project! This tool allows you to create custom podcast episodes using AI-generated content.
+
+## Features
+* Generate podcast scripts from PDF content or web pages
+* Convert text to speech for a natural listening experience
+* Choose the tone of your podcast
+* Export episodes as MP3 files
+
+## How to Use
+1. Upload a PDF file OR enter a URL (content will be truncated to 2048 tokens if longer)
+2. Select the desired tone (humorous, casual, formal)
+3. Choose the podcast length
+4. Click "Generate" to create your podcast
+5. Listen to the generated audio and review the transcript
+
+Note: This tool uses the LLaMa 3.1 70B model for script generation and a lightweight TTS engine for voice synthesis. The input is limited to 2048 tokens to ensure compatibility with the model.
+"""
+
+iface = gr.Interface(
+    fn=generate_podcast,
+    inputs=[
+        gr.File(label="Upload PDF file (optional)", file_types=[".pdf"]),
+        gr.Textbox(label="OR Enter URL"),
+        gr.Radio(["humorous", "casual", "formal"], label="Select podcast tone", value="casual"),
+        gr.Radio(["Short (1-2 min)", "Medium (3-5 min)"], label="Podcast length", value="Medium (3-5 min)")
+    ],
+    outputs=[
+        gr.Audio(label="Generated Podcast"),
+        gr.Markdown(label="Transcript")
+    ],
+    title="Custom NotebookLM-type Podcast Generator (2048 token limit)",
+    description=instructions,
+    allow_flagging="never",
+    theme=gr.themes.Soft()
+)
+
+# This line is crucial for Hugging Face Spaces
+app = gr.mount_gradio_app(iface)