Update app.py

app.py

@@ -31,6 +31,11 @@ from urllib.parse import quote
 from xml.etree import ElementTree as ET
 from openai import OpenAI
 
+
+
+
+
+
 # 1. 🚲BikeAI🏆 Configuration and Setup
 Site_Name = '🚲BikeAI🏆 Claude and GPT Multi-Agent Research AI'
 title = "🚲BikeAI🏆 Claude and GPT Multi-Agent Research AI"
@@ -706,6 +711,12 @@ speech_recognition_html = """
                     }
                     lastUpdateTime = Date.now();
                 }
+                
+                #window.parent.postMessage({
+                #    type: 'final_transcript',
+                #    text: finalTranscript
+                #}, '*');
+                                
 
                 output.textContent = fullTranscript + (interimTranscript ? '... ' + interimTranscript : '');
                 output.scrollTop = output.scrollHeight;
@@ -878,6 +889,55 @@ def main():
         
         # Display speech recognition component
         speech_component = st.components.v1.html(speech_recognition_html, height=400)
+
+    
+        #Experiment:   Use `st.session_state` to store the transcript
+
+        @st.experimental_memo
+        def set_transcript(text):
+            """Set transcript in session state."""
+            st.session_state.voice_transcript = text
+        
+        # Listen to messages from the HTML component
+        components.html("""
+        <script>
+        window.addEventListener('message', (event) => {
+            if (event.data.type === 'final_transcript') {
+                const transcript = event.data.text;
+                Streamlit.setComponentValue(transcript);
+            }
+        });
+        </script>
+        """, height=0)
+
+
+        if 'voice_transcript' not in st.session_state:
+            st.session_state.voice_transcript = ""
+    
+        # Check for updates to transcript
+        if st.session_state.voice_transcript:
+            st.markdown("### Processed Voice Input:")
+            st.text_area("Voice Transcript", st.session_state.voice_transcript, height=100)
+    
+            # Buttons to process the transcript
+            if st.button("Search with GPT"):
+                st.subheader("GPT-4o Response")
+                gpt_response = process_with_gpt(st.session_state.voice_transcript)
+                st.markdown(gpt_response)
+    
+            if st.button("Search with Claude"):
+                st.subheader("Claude Response")
+                claude_response = process_with_claude(st.session_state.voice_transcript)
+                st.markdown(claude_response)
+    
+            if st.button("Search ArXiv"):
+                st.subheader("ArXiv Search Results")
+                arxiv_results = perform_ai_lookup(st.session_state.voice_transcript)
+                st.markdown(arxiv_results)
+        # Clear transcript button
+        if st.button("Clear Transcript"):
+            st.session_state.voice_transcript = ""
+
         
         # Handle speech recognition output
         if speech_component: