Update app.py

app.py

@@ -12,9 +12,6 @@ import re
 from dataclasses import dataclass
 import logging
 from bs4 import BeautifulSoup
-import speech_recognition as sr
-import pyttsx3
-import io
 import tempfile
 import os
 from threading import Thread
@@ -354,31 +351,19 @@ class LanguageAgent:
         return brief.strip()
 
 class VoiceAgent:
+    """Simplified voice agent without PyAudio dependencies"""
     def __init__(self):
-        self.recognizer = sr.Recognizer()
-        self.tts_engine = pyttsx3.init()
-        self.tts_engine.setProperty('rate', 150)
-        self.tts_engine.setProperty('volume', 0.9)
+        self.enabled = False
+        logger.info("Voice agent initialized in text-only mode (audio libraries not available)")
     
     def speech_to_text(self, audio_file) -> str:
-        try:
-            with sr.AudioFile(audio_file) as source:
-                audio = self.recognizer.record(source)
-            text = self.recognizer.recognize_google(audio)
-            return text
-        except Exception as e:
-            logger.error(f"Speech recognition error: {e}")
-            return "Could not understand audio"
+        """Placeholder for speech-to-text functionality"""
+        return "Voice input not available in this deployment. Please use text input."
     
     def text_to_speech(self, text: str) -> str:
-        try:
-            with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file:
-                self.tts_engine.save_to_file(text, tmp_file.name)
-                self.tts_engine.runAndWait()
-                return tmp_file.name
-        except Exception as e:
-            logger.error(f"Text-to-speech error: {e}")
-            return None
+        """Placeholder for text-to-speech functionality"""
+        logger.info("Text-to-speech requested but not available in this deployment")
+        return None
 
 class FinanceAssistantOrchestrator:
     def __init__(self):
@@ -498,8 +483,8 @@ def create_stock_performance_chart(viz_data):
 
 async def process_query(query, audio_input):
     if audio_input:
-        # Process audio input
-        query = orchestrator.voice_agent.speech_to_text(audio_input)
+        # Note: Audio processing disabled in this version
+        query = "Audio input not supported in this deployment. Please use text input."
     
     if not query:
         query = "Generate morning market brief for Asia tech stocks"
@@ -510,8 +495,8 @@ async def process_query(query, audio_input):
     # Create visualization
     chart = create_stock_performance_chart(viz_data)
     
-    # Generate audio response
-    audio_file = orchestrator.voice_agent.text_to_speech(brief)
+    # Audio output disabled
+    audio_file = None
     
     # Prepare metrics display
     metrics_html = ""
@@ -553,8 +538,8 @@ with gr.Blocks(css=custom_css, title="🚀 Multi-Agent Finance Assistant") as de
     gr.HTML("""
     <div style="text-align: center; padding: 20px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-radius: 15px; margin-bottom: 20px;">
         <h1 style="color: white; font-size: 2.5em; margin: 0;">🚀 Multi-Agent Finance Assistant</h1>
-        <p style="color: white; font-size: 1.2em; margin: 10px 0;">AI-Powered Market Analysis with Voice Integration</p>
-        <p style="color: #FFD700; font-size: 1em;">Real-time data • Multi-agent orchestration • Voice I/O • RAG-powered insights</p>
+        <p style="color: white; font-size: 1.2em; margin: 10px 0;">AI-Powered Market Analysis with RAG Integration</p>
+        <p style="color: #FFD700; font-size: 1em;">Real-time data • Multi-agent orchestration • RAG-powered insights</p>
     </div>
     """)
     
@@ -566,7 +551,6 @@ with gr.Blocks(css=custom_css, title="🚀 Multi-Agent Finance Assistant") as de
                 placeholder="Ask about Asia tech stocks, risk exposure, earnings surprises...",
                 lines=2
             )
-            audio_input = gr.Audio(label="🎤 Voice Input (Optional)", type="filepath")
             
             with gr.Row():
                 submit_btn = gr.Button("🔍 Generate Market Brief", variant="primary", size="lg")
@@ -586,7 +570,6 @@ with gr.Blocks(css=custom_css, title="🚀 Multi-Agent Finance Assistant") as de
                 lines=10,
                 max_lines=15
             )
-            audio_output = gr.Audio(label="🔊 Voice Output")
         
         with gr.Column():
             chart_output = gr.Plot(label="📊 Market Visualization")
@@ -596,34 +579,35 @@ with gr.Blocks(css=custom_css, title="🚀 Multi-Agent Finance Assistant") as de
     # Event handlers
     submit_btn.click(
         fn=process_query,
-        inputs=[query_input, audio_input],
-        outputs=[brief_output, chart_output, metrics_display, audio_output, status_output]
+        inputs=[query_input, None],  # Audio input disabled
+        outputs=[brief_output, chart_output, metrics_display, None, status_output]
     )
     
     morning_brief_btn.click(
-        fn=lambda: process_query("Generate comprehensive morning market brief for Asia tech stocks with risk analysis", None),
-        outputs=[brief_output, chart_output, metrics_display, audio_output, status_output]
+        fn=lambda: asyncio.run(process_query("Generate comprehensive morning market brief for Asia tech stocks with risk analysis", None)),
+        outputs=[brief_output, chart_output, metrics_display, None, status_output]
     )
     
     risk_analysis_btn.click(
-        fn=lambda: process_query("Analyze current risk exposure and portfolio allocation", None),
-        outputs=[brief_output, chart_output, metrics_display, audio_output, status_output]
+        fn=lambda: asyncio.run(process_query("Analyze current risk exposure and portfolio allocation", None)),
+        outputs=[brief_output, chart_output, metrics_display, None, status_output]
     )
     
     earnings_update_btn.click(
-        fn=lambda: process_query("Provide latest earnings surprises and analyst updates", None),
-        outputs=[brief_output, chart_output, metrics_display, audio_output, status_output]
+        fn=lambda: asyncio.run(process_query("Provide latest earnings surprises and analyst updates", None)),
+        outputs=[brief_output, chart_output, metrics_display, None, status_output]
     )
     
     clear_btn.click(
-        fn=lambda: ("", None, "", None, ""),
-        outputs=[query_input, audio_input, brief_output, chart_output, status_output]
+        fn=lambda: ("", "", "", None, ""),
+        outputs=[query_input, brief_output, metrics_display, chart_output, status_output]
     )
     
     gr.HTML("""
     <div style="text-align: center; padding: 15px; background: linear-gradient(45deg, #FE6B8B 30%, #FF8E53 90%); border-radius: 10px; margin-top: 20px;">
-        <p style="color: white; margin: 0;"><strong>🤖 AI Agents Active:</strong> API Agent | Scraping Agent | RAG Retriever | Analysis Agent | Language Agent | Voice Agent</p>
+        <p style="color: white; margin: 0;"><strong>🤖 AI Agents Active:</strong> API Agent | Scraping Agent | RAG Retriever | Analysis Agent | Language Agent</p>
         <p style="color: white; margin: 5px 0 0 0; font-size: 0.9em;">Powered by Gemini 2.0 Flash • Real-time market data • Multi-source intelligence</p>
+        <p style="color: #FFD700; margin: 5px 0 0 0; font-size: 0.8em;">Note: Voice features disabled for compatibility</p>
     </div>
     """)