Update app.py

app.py

@@ -400,7 +400,8 @@ def evaluate_answers():
         For EACH question and its answer, provide a score from 0 to 5 points.
         The candidate is at a {level_string} level.
         Consider the following when assigning the per-question score:
-        - Effort and relevance of the answer.
+        - Effort: Did the candidate attempt a meaningful answer, even if partially incorrect?
+        - Relevance: Is the response at least partially related to the question topic?
         - Clarity of thought for the candidate's level.
         - Basic logical structure.
         - Use of examples, if any were given and appropriate.
@@ -409,11 +410,11 @@ def evaluate_answers():
             level_specific_instructions_non_hr = """
             You are an **extremely understanding, encouraging, and supportive** interview evaluator for a **BEGINNER/FRESHER**. Your primary goal is to **build confidence**.
             **Scoring Guidelines for Beginners (0-5 points per question):**
-            - **5 points:** Generally correct and relevant, even if brief. Shows clear effort and basic understanding.
-            - **4 points:** Good attempt, relevant, shows some understanding or key terms (e.g., one/two relevant words).
-            - **3 points:** Tries, somewhat related, or acknowledges question with a vague thought.
+            - **5 points:** Accurate, clear, and well-structured answer. Shows clear effort and basic understanding.
+            - **4 points:** Mostly correct with minor gaps or unclear phrasing.Good attempt, relevant, shows some understanding or key terms (e.g., one/two relevant words).
+            - **3 points:** Partially correct with evident effort, but lacks clarity or completeness.
             - **1-2 points:** Minimal effort, mostly irrelevant, but an attempt beyond silence.
-            - **0 points:** Completely irrelevant, no attempt, or placeholder.
+            - **0 points:** Candidate explicitly says "I don’t know", "I'm not sure", or provides placeholder/non-answers. No relevant effort or understanding shown.Incorrect or unrelated.
             Provide VERY positive feedback.
             """
         elif level_string == "intermediate":
@@ -536,6 +537,7 @@ Guidelines:
 - Use a mix of conceptual and real-world scenario questions.
 - Include light critical thinking.
 - Still no need for code, formulas, or complex diagrams.
+- No coding or technical syntax required.
 Ensure the questions are clear, to the point, and suitable for a {difficulty_level}-level interview in {selected_domain}.
 **New Requirement:**
 🚫 **Do NOT repeat any questions from previous generations again and again.** Ensure all generated questions are unique and different from past sessions.
@@ -555,6 +557,7 @@ Guidelines:
 - Expect detailed, logical, well-structured answers.
 - Include challenging “why” and “how” based questions.
 - No need for code, but assume candidate has high expertise.
+- No coding or technical syntax required.
 Ensure the questions are clear, to the point, and suitable for a {difficulty_level}-level interview in {selected_domain}.
 **New Requirement:**
 🚫 **Do NOT repeat any questions from previous generations again and again.** Ensure all generated questions are unique and different from past sessions.
@@ -819,7 +822,6 @@ def get_ice_servers():
 
 # === Main QA Interface ===
 
-
 if st.session_state.get("generated_questions"):
     idx = st.session_state.get("current_question_index", 0)
     if idx < len(st.session_state["generated_questions"]):
@@ -851,6 +853,7 @@ if st.session_state.get("generated_questions"):
                 st.session_state["record_phase"] = "waiting_to_start"
                 st.session_state["question_start_time"] = time.time()
                 st.rerun()
+
         # Phase 2: Waiting to Start Recording
         elif st.session_state["record_phase"] == "waiting_to_start":
             remaining = 10 - int(elapsed)
@@ -879,105 +882,63 @@ if st.session_state.get("generated_questions"):
                     evaluate_answers()
                     st.session_state["show_summary"] = True
                 st.rerun()
+
         # Phase 3: Recording
         elif st.session_state["record_phase"] == "recording":
-            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)
-
-                audio_value = st.audio_input("🎤 Tap to record — then stop when done", key=f"audio_{idx}")
-
-                # Defer processing by saving to temp_audio
-                if audio_value:
-                    st.session_state["temp_audio"] = audio_value
-                    st.rerun()
-
-                # Process the deferred audio input
-                if "temp_audio" in st.session_state and st.session_state.get("response_file") is None:
-                    audio_value = st.session_state.pop("temp_audio")
-                    wav_path = f"response_{idx}.wav"
-                    with open(wav_path, "wb") as f:
-                        f.write(audio_value.getbuffer())
-
-                    recognizer = sr.Recognizer()
-
-                    try:
-                        with sr.AudioFile(wav_path) as source:
-                            audio = recognizer.record(source)
-                            transcript = recognizer.recognize_google(audio)
-                    except sr.UnknownValueError:
-                        transcript = "[Could not understand audio]"
-                    except sr.RequestError:
-                        transcript = "[Google API error]"
-                    except Exception as e:
-                        transcript = f"[Transcription failed: {e}]"
-
-                    st.session_state["response_file"] = wav_path
-                    st.session_state["record_phase"] = "listening"
-                    st.success("✅ Audio uploaded. You may now confirm your answer.")
-
-                    st.session_state["answers"].append({
-                        "question": question,
-                        "response_file": wav_path,
-                        "response": transcript
-                    })
+            st.markdown(f"<h4 class='timer-text'>🎙️ Recording... Click below to stop when done</h4>", unsafe_allow_html=True)
+            audio_value = st.audio_input("🎤 Tap to record your answer — then stop when done", key=f"audio_{idx}")
 
-                    if st.session_state["current_question_index"] == len(st.session_state["generated_questions"]):
-                        evaluate_answers()
-                        st.session_state["show_summary"] = True
-
-                    st.rerun()
+            if audio_value and st.button("⏹️ Stop Recording"):
+                wav_path = f"response_{idx}.wav"
+                with open(wav_path, "wb") as f:
+                    f.write(audio_value.getbuffer())
 
-                    if elapsed > 15 and st.session_state.get("response_file") is None:
-                        st.warning("⚠️ No audio captured. Moving to next question.")
-                        st.session_state["answers"].append({"question": question, "response": "[No response]"})
-                        st.session_state.update({
-                            "record_phase": "idle",
-                            "question_played": 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.rerun()
+                recognizer = sr.Recognizer()
+                try:
+                    with sr.AudioFile(wav_path) as source:
+                        audio = recognizer.record(source)
+                        transcript = recognizer.recognize_google(audio)
+                except sr.UnknownValueError:
+                    transcript = "[Could not understand audio]"
+                except sr.RequestError:
+                    transcript = "[Google API error]"
+                except Exception as e:
+                    transcript = f"[Transcription failed: {e}]"
 
-            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]"})
                 st.session_state.update({
-                    "record_phase": "idle",
-                    "recording_started": False,
-                    "question_played": False,
-                    "question_start_time": 0.0,
-                    "current_question_index": idx + 1
+                    "response_file": wav_path,
+                    "record_phase": "listening",
+                    "recorded_text": transcript
                 })
-                if st.session_state["current_question_index"] == len(st.session_state["generated_questions"]):
-                    evaluate_answers()
-                    st.session_state["show_summary"] = True
+                st.session_state["answers"].append({
+                    "question": question,
+                    "response_file": wav_path,
+                    "response": transcript
+                })
+                st.success("✅ Audio recorded. You may now confirm your answer.")
                 st.rerun()
 
         # Phase 4: Listening / Confirming
         elif st.session_state["record_phase"] == "listening":
             st.success("🎧 Review your recorded response below:")
             st.audio(st.session_state["response_file"], format="audio/wav")
+            #st.markdown(f"**Your Response (text):** {st.session_state['recorded_text']}")
 
-            if st.button("⏹️ Confirm & Next"):
+            if st.button("✅ Confirm & Next"):
                 st.session_state.update({
                     "record_phase": "idle",
                     "recording_started": False,
                     "question_played": False,
                     "question_start_time": 0.0,
                     "current_question_index": idx + 1,
-                    "response_file": None,
-                    "audio_waiting": True
+                    "response_file": None
                 })
-
                 if st.session_state["current_question_index"] == len(st.session_state["generated_questions"]):
                     evaluate_answers()
                     st.session_state["show_summary"] = True
                 st.rerun()
-                    
- 
+
+
 # === Summary Display ===
 if st.session_state.get("show_summary", False):
     st.subheader("📊 Complete Mock Interview Summary")