Update app.py

app.py

@@ -14,8 +14,6 @@ import edge_tts
 import pandas as pd
 import tempfile
 import traceback
-import soundfile as sf
-from streamlit_webrtc import webrtc_streamer, WebRtcMode
 
 
 # ✅ MUST be the first Streamlit command
@@ -815,9 +813,7 @@ if st.session_state["generated_questions"]:
         elif st.session_state["record_phase"] == "waiting_to_start":
             remaining = 10 - int(elapsed)
             if remaining > 0:
-                st.markdown(f"<h4 class='timer-text'>⏳ {remaining} seconds to click 'Start Recording'...</h4>",
-                            unsafe_allow_html=True)
-                
+                st.markdown(f"<h4 class='timer-text'>⏳ {remaining} seconds to click 'Start Recording'...</h4>", unsafe_allow_html=True)
                 if st.button("🎙️ Start Recording"):
                     st.session_state.update({
                         "record_phase": "recording",
@@ -845,60 +841,23 @@ if st.session_state["generated_questions"]:
             remaining = 15 - int(now - st.session_state.get("timer_start", 0))
             if remaining > 0:
                 st.markdown(f"<h4 class='timer-text'>🎙️ {remaining} seconds to answer...</h4>", unsafe_allow_html=True)
-                
-                webrtc_ctx = webrtc_streamer(
-                        key=f"webrtc_{idx}",
-                        mode=WebRtcMode.SENDONLY,
-                        media_stream_constraints={"audio": True, "video": False},
-                        audio_receiver_size=256
-                        )
-                
-                if webrtc_ctx.state.playing:
-                    if st.button("⏹️ Stop Recording"):
-                        wav_path = f"response_{idx}.wav"
-                        
+                recognizer = sr.Recognizer()
+                with sr.Microphone() as source:
+                    recognizer.adjust_for_ambient_noise(source)
+                    try:
+                        audio = recognizer.listen(source, timeout=1, phrase_time_limit=1)
                         try:
-                           frames = webrtc_ctx.audio_receiver.get_frames(timeout=1)
-                        except Exception as e:
-                           st.error(f"⚠️ Audio capture error: {e}")
-                           frames = []
-                            
-                        if frames:
-                           try:
-                               pcm = np.concatenate([f.to_ndarray() for f in frames], axis=0)
-                               sample_rate = frames[0].sample_rate
-                               sf.write(wav_path, pcm, sample_rate)
-                               st.audio(wav_path)
-                               st.session_state["answers"].append({
-                                    "question": question,
-                                    "response_file": wav_path
-                                })
-                        
-                            except Exception as e:
-                                st.error(f"⚠️ Error saving recording: {e}")
-                                st.session_state["answers"].append({
-                                      "question": question,
-                                      "response": "[Error saving recording]"
-                                 })
-                        else:
-                            st.warning("⚠️ No audio captured.")
-                            st.session_state["answers"].append({
-                               "question": question,
-                                "response": "[No response]"
+                            result = recognizer.recognize_google(audio)
+                            st.session_state.update({
+                                "recorded_text": result,
+                                "record_phase": "listening"
                             })
-
-                        st.session_state.update({
-                           "record_phase": "idle",
-                           "question_played": False,
-                          "recording_started": False,
-                         "current_question_index": idx + 1
-                        })
-                        
-                        if st.session_state["current_question_index"] == len(st.session_state["generated_questions"]):
-                            evaluate_answers()
-                            st.session_state["show_summary"] = True
-                        st.experimental_rerun()
-               
+                        except sr.UnknownValueError:
+                            pass
+                    except sr.WaitTimeoutError:
+                        pass
+                time.sleep(1)
+                st.rerun()
             else:
                 st.markdown("<div style='padding:10px; background:#fff3e0; border-left:5px solid orange;'>⚠️ <strong>No response detected.</strong> Moving to next question...</div>", unsafe_allow_html=True)
                 st.session_state["answers"].append({"question": question, "response": "[No response]"})