Update src/streamlit_app.py

src/streamlit_app.py

@@ -176,6 +176,7 @@ If a good followup question can be asked generate it but only if it is a genuine
 import io # Make sure 'import io' is at the top of your file
 
 # --- REPLACED: Official Google Cloud TTS Function ---
+
 @st.cache_data
 def synthesize_speech(text):
     """
@@ -186,8 +187,19 @@ def synthesize_speech(text):
         st.warning("google-cloud-texttospeech library not found, audio playback is disabled.")
         return None
 
-    # Instantiates a client
-    client = texttospeech.TextToSpeechClient()
+    # --- START OF FIX ---
+    # Get the API key from the environment (where HF secrets put it)
+    api_key = os.environ.get("GOOGLE_API_KEY") 
+    
+    # Check if the key exists
+    if not api_key:
+        st.error("GOOGLE_API_KEY not found in secrets. Cannot initialize TTS.")
+        return None
+        
+    # Pass the key explicitly to the client
+    client_options = {"api_key": api_key}
+    client = texttospeech.TextToSpeechClient(client_options=client_options)
+    # --- END OF FIX ---
 
     # Set the text input to be synthesized
     synthesis_input = texttospeech.SynthesisInput(text=text)
@@ -209,7 +221,6 @@ def synthesize_speech(text):
     
     return response.audio_content
 
-
 def text_to_speech_and_display(text, autoplay=True):
     """
     Displays the text and plays the synthesized audio.
@@ -342,15 +353,11 @@ if st.session_state.stage == 'start':
             st.session_state.resume_text = resume_text_input
             st.session_state.stage = 'processing_resume'
             st.rerun()
-# --- NEW STAGE 0.5: Process Resume (runs *after* file upload) ---
+
 # --- NEW STAGE 0.5: Process Resume (runs *after* file upload) ---
 elif st.session_state.stage == 'processing_resume':
     with st.spinner("Analyzing your resume... This may take a moment."):
         try:
-            # --- START: TEMPORARY TEST CODE ---
-            st.warning("AI Calls are in TEST MODE.")
-            
-            # 1. Generate DUMMY Questions
             resume_text = st.session_state.resume_text
             st.session_state.questions = generate_questions_from_resume(resume_text, gen_q_model)