Update app.py

app.py

@@ -12,8 +12,12 @@ import tempfile
 import os
 import subprocess
 import platform
+import dotenv
 import os
 import tempfile
+from pathlib import Path
+dotenv.load_dotenv(Path(__file__).parent / ".env")
+TEXT_TO_SPEECH_API_URL = os.environ.get("TEXT_TO_SPEECH_BASE_URL")
 
 # MCP imports - adjusted for actual library structure
 try:
@@ -165,6 +169,13 @@ class NewsAggregatorMCP:
         """
         Convert text to audio using AI text-to-speech API with optional background music.
         
+        IMPORTANT:  
+        - This tool should be used ONLY ONCE for summarized news content.
+        - DO NOT call this function separately for each news article.
+        - Instead, first summarize the key points from all news articles.
+        - Then call this function ONCE with the compiled summary.
+        - Maximum allowed text length: 1000 characters. (about 125 words)
+        
         Args:
             text (str): Text to convert to audio
             use_music (bool, optional): Whether to include background music. Defaults to False.
@@ -183,7 +194,7 @@ class NewsAggregatorMCP:
         
         try:
             # Prepare API request
-            api_url = "https://sujankoirala07--news-broadcaster-with-bg-chatterboxwithm-3add60.modal.run"
+            api_url = TEXT_TO_SPEECH_API_URL
             payload = {
                 "prompt": text,
                 "use_music": str(use_music).lower()
@@ -336,12 +347,15 @@ def search_news_interface(keywords, limit, date_from_input):
 
     Args:
         keywords (str): Comma-separated keywords to search for in news articles.
-        limit (int): Maximum number of articles to return.
+        limit (int): Maximum number of articles to return. The maximum value must be less than 15.
         date_from_input (int): Number of days in the past to consider for articles (e.g., 7 for last week).
 
     Returns:
         str: A JSON-formatted string containing the total number of results and a list of matched articles.
     """
+    if limit>15:
+        limit=15
+
     if not keywords:
         return "Please enter keywords to search for news."
     
@@ -357,14 +371,14 @@ def search_news_interface(keywords, limit, date_from_input):
 
 
 # Now update the text_to_audio_interface function to optionally play the audio
-def text_to_audio_interface(text, use_music):
+def text_to_audio_interface(text, use_music, auto_play):
     """
     Convert a short piece of text to speech using an AI text-to-audio model. Provide all the news in one call instead of making multiple separate calls. This helps improve the quality and flow of the speech output
 
     Args:
         text (str): The input text to convert into speech. Max length: 1000 characters.
         use_music (bool): Whether to add soft background music to the audio output. Default value is True.
-
+        auto_play (bool): Whether to automatically play the generated audio after conversion. Must be True if called from Claude or other MCP clients which doesn't support audio output play in UI.
     Returns:
         tuple:
             - str: A JSON-formatted string with metadata about the generated audio.
@@ -380,10 +394,10 @@ def text_to_audio_interface(text, use_music):
     asyncio.set_event_loop(loop)
     result = loop.run_until_complete(news_mcp.text_to_audio(args))
     if result.get("success"):
+        if(auto_play):
         # Optionally play the audio immediately
-        play_args = {"filepath": result.get("audio_file")}
-        play_result = loop.run_until_complete(news_mcp.play_audio(play_args))
-        
+            play_args = {"filepath": result.get("audio_file")}
+            play_result = loop.run_until_complete(news_mcp.play_audio(play_args))
         return json.dumps(result, indent=2), result.get("audio_file")
     else:
         return json.dumps(result, indent=2), None
@@ -398,7 +412,9 @@ with gr.Blocks(title="News Aggregator with Text to audio - MCP Server", theme=gr
     
     ### Available MCP Tools:
     - `search_news`: Search for news articles based on keywords
-    - `text_to_audio`: Convert text to audio with optional background music (convert a single text snippet, not every news article)
+    - `text_to_audio`: Convert text to audio with optional background music.
+
+    **Note:** Due to the application's continuous inactivity, the text-to-speech feature may not work on the first run. If it doesn't respond initially, please try running it again
     """)
     
     with gr.Tabs():
@@ -451,6 +467,11 @@ with gr.Blocks(title="News Aggregator with Text to audio - MCP Server", theme=gr
                         value=False,
                         info="Include background music in the generated audio"
                     )
+                    auto_play = gr.Checkbox(
+                        label="Auto play",
+                        value=False,
+                        info="Auto play the generated audio using local audio player after conversion."
+                    )
                     convert_btn = gr.Button("Convert to Audio", variant="primary")
                 
                 with gr.Column():
@@ -463,7 +484,7 @@ with gr.Blocks(title="News Aggregator with Text to audio - MCP Server", theme=gr
             
             convert_btn.click(
                 text_to_audio_interface,
-                inputs=[text_input, music_checkbox],
+                inputs=[text_input, music_checkbox,auto_play ],
                 outputs=[audio_output_json, audio_player]
             )