Update src/streamlit_app.py

src/streamlit_app.py

@@ -288,6 +288,8 @@ def text_to_speech_and_display(text, autoplay=True):
         st.session_state.chat_history.append(f"**Interviewer:** {text}")
 
         # 2. Synthesize speech
+        if not st.session_state.get('audio_enabled', False):
+            return
         audio_content = synthesize_speech(text)
 
         # 3. Display audio player
@@ -375,6 +377,8 @@ st.divider()
 # --- Session State Initialization ---
 if 'stage' not in st.session_state:
     st.session_state.stage = 'start'
+if 'audio_enabled' not in st.session_state:
+    st.session_state.audio_enabled = False
 if 'chat_history' not in st.session_state:
     st.session_state.chat_history = []
 if 'questions' not in st.session_state:
@@ -393,7 +397,11 @@ if 'num_questions' not in st.session_state:
 # --- STAGE 0: Start (File Upload) ---
 if st.session_state.stage == 'start':
     st.info("Welcome! Please paste your resume text below to begin.")
-    
+    st.toggle(
+        "Enable Audio Mode (AI Voice & Microphone)", 
+        key='audio_enabled', 
+        help="If ON, the AI will speak and you can answer with your voice. If OFF, it's text-only and you have to type your answer."
+    )
     with st.form(key="resume_form"):
         resume_text_input = st.text_area("Paste your resume text here:", height=300)
         submit_button = st.form_submit_button("Start Interview")
@@ -466,20 +474,32 @@ if st.session_state.stage not in ['start', 'processing_resume']:
         st.info("Interview is finished. Start a new interview to speak.")
         
     else:
-        st.write("Your turn to speak:")
-        audio_bytes_dict = mic_recorder(
-            start_prompt="Start Recording ⏺️",
-            stop_prompt="Stop Recording ⏹️",
-            key='recorder'
-        )
-        
-        if audio_bytes_dict:
-            # The component returns a dictionary, get the bytes
-            audio_bytes = audio_bytes_dict['bytes']
+        if st.session_state.audio_enabled:
+            st.write("Your turn to speak:")
+            audio_bytes_dict = mic_recorder(
+                start_prompt="Start Recording ⏺️",
+                stop_prompt="Stop Recording ⏹️",
+                key='recorder'
+            )
             
-            with st.spinner("Transcribing your answer..."):
-                # Use our NEW Google Cloud STT function
-                user_text = speech_to_text(audio_bytes)
+            if audio_bytes_dict:
+                # The component returns a dictionary, get the bytes
+                audio_bytes = audio_bytes_dict['bytes']
+                
+                with st.spinner("Transcribing your answer..."):
+                    # Use our NEW Google Cloud STT function
+                    user_text = speech_to_text(audio_bytes)
+
+
+        else:
+        # --- TEXT-ONLY MODE (Text Input) ---
+            with st.form(key="answer_form", clear_on_submit=True):
+                answer = st.text_input("Your answer:", disabled=is_disabled)
+                submit_button = st.form_submit_button(label="Submit Answer", disabled=is_disabled)
+                
+                if submit_button and answer:
+                    user_text = answer
+                    st.session_state.chat_history.append(f"**You:** {user_text}")
     # --- END OF REPLACEMENT ---