Update app.py

app.py

@@ -59,7 +59,7 @@ def extract_pdf_text(uploaded_file):
     return "".join(page.extract_text() or "" for page in pdf_reader.pages).strip()
 
 def get_questions(prompt, input_text, num_questions=3, max_retries=10):
-    model = genai.GenerativeModel('gemini-2.5-pro')
+    model = genai.GenerativeModel('gemini-2.0-flash-lite')
 
     if "previous_questions" not in st.session_state:
         st.session_state["previous_questions"] = set()
@@ -148,7 +148,7 @@ for param in HR_PARAMETERS_CONFIG:
 # SUmmary of improvement(function)
 
 def generate_improvement_suggestions():
-    model = genai.GenerativeModel('gemini-2.5-pro')
+    model = genai.GenerativeModel('gemini-2.0-flash-lite')
     difficulty_level = st.session_state.get("difficulty_level_select", "Beginner")
     level_string = difficulty_level.lower()
 
@@ -184,24 +184,17 @@ def generate_improvement_suggestions():
     ---
     {cleaned_initial_evaluation}
     ---
-
     Based on all this information, your task is to provide DETAILED and CONSTRUCTIVE suggestions for each question to help the candidate improve. Be supportive and encouraging.
-
     For EACH question, please provide:
     1.  **How to Improve This Answer:** Specific, actionable advice on what the candidate could have added, clarified, or approached differently to make their answer better for their {level_string} level. Focus on 1-2 key improvement points.
     2.  **Hints for an Ideal Answer:** Briefly mention 2-3 key concepts, terms, or elements that a strong answer (appropriate for their {level_string} level) would typically include. DO NOT provide a full model answer, just hints and pointers.
-
     Keep the tone positive and focused on learning.
-
     Structure your response clearly for each question. Example for one question:
-
     ---
     **Regarding Question X: "[Original Question Text Here]"**
-
     *How to Improve This Answer:*
     [Your specific suggestion 1 for improvement...]
     [Your specific suggestion 2 for improvement...]
-
     *Hints for an Ideal Answer (Key Points to Consider):*
     - Hint 1 or Key concept 1
     - Hint 2 or Key concept 2
@@ -234,7 +227,7 @@ def generate_improvement_suggestions():
 
 
 def evaluate_answers():
-    model = genai.GenerativeModel('gemini-2.5-pro')
+    model = genai.GenerativeModel('gemini-2.0-flash-lite')
     # difficulty_level_select is the key for the difficulty selectbox in your sidebar
     difficulty_level = st.session_state.get("difficulty_level_select", "Beginner") 
     level_string = difficulty_level.lower()
@@ -291,15 +284,11 @@ def evaluate_answers():
         hr_prompt_template = f"""
         You are an experienced HR interview evaluator assessing a candidate's soft skills based on their answers to interview questions.
         The candidate's performance across ALL answers should inform your scores for the following parameters.
-
         **Parameters to Score (Assign a score from 1 to 5 for each):**
         {hr_prompt_parameter_list}
-
         After providing a score (1-5) for each of the above parameters, also write an **Overall Qualitative Feedback** section. 
         This section should summarize the candidate's general soft skill strengths and areas for improvement, based on their communication, engagement, and professionalism throughout the interview.
-
         **REQUIRED OUTPUT FORMAT (Strictly Adhere):**
-
         **Parameter Scores (1-5):**
         Voice Modulation: [score]
         Confidence: [score]
@@ -310,7 +299,6 @@ def evaluate_answers():
         Basics of Grammar + SVA: [score]
         Persuasiveness: [score]
         Quality of Answers: [score]
-
         **Overall Qualitative Feedback:**
         [Your holistic qualitative feedback here. Be encouraging and constructive.]
         """
@@ -428,11 +416,9 @@ def evaluate_answers():
         {base_assessment_criteria_qualitative_non_hr}
         **YOUR RESPONSE MUST STRICTLY FOLLOW THIS FORMAT. PROVIDE SCORES FOR EACH QUESTION.**
         Output format:
-
         **Per-Question Scores:**
         Question 1 Score: [Score for Q1 out of 5]
         ... (repeat for all {num_answered_questions} questions provided)
-
         **Overall Evaluation Summary:**
         - Concept Understanding: [Overall qualitative feedback here]
         - Communication: [Overall qualitative feedback here]
@@ -512,7 +498,6 @@ def evaluate_answers():
 BEGINNER_PROMPT = """
 You are a friendly mock interview trainer conducting a **Beginner-level** spoken interview in the domain of **{domain}**.
 Ask basic verbal interview questions based on the candidate's input: **{input_text}**.
-
 Guidelines:
 - Ask simple conceptual questions.
 - Avoid jargon and complex examples.
@@ -521,7 +506,6 @@ Guidelines:
 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.
-
 **Guidelines:**
     ✅ Questions should focus on key concepts, best practices, and problem-solving within {selected_domain}.
     ✅ Ensure questions are direct, structured, and relevant to real-world applications.
@@ -532,7 +516,6 @@ Ensure the questions are clear, to the point, and suitable for a {difficulty_lev
 INTERMEDIATE_PROMPT = """
 You are a professional mock interviewer conducting an **Intermediate-level** spoken interview in the domain of **{domain}**.
 Ask moderately challenging verbal interview questions based on the candidate's input: **{input_text}**.
-
 Guidelines:
 - Use a mix of conceptual and real-world scenario questions.
 - Include light critical thinking.
@@ -541,7 +524,6 @@ Guidelines:
 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.
-
 **Guidelines:**
     ✅ Questions should focus on key concepts, best practices, and problem-solving within {selected_domain}.
     ✅ Ensure questions are direct, structured, and relevant to real-world applications.
@@ -552,7 +534,6 @@ Ensure the questions are clear, to the point, and suitable for a {difficulty_lev
 ADVANCED_PROMPT = """
 You are a strict mock interviewer conducting an **Advanced-level** spoken interview in the domain of **{domain}**.
 Ask deep, analytical, real-world scenario-based questions from the candidate's input: **{input_text}**.
-
 Guidelines:
 - Expect detailed, logical, well-structured answers.
 - Include challenging “why” and “how” based questions.
@@ -561,7 +542,6 @@ Guidelines:
 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.
-
 **Guidelines:**
     ✅ Questions should focus on key concepts, best practices, and problem-solving within {selected_domain}.
     ✅ Ensure questions are direct, structured, and relevant to real-world applications.
@@ -600,7 +580,6 @@ st.markdown("""
         box-shadow: 0 0 0 0.2rem rgba(0,123,255,.5) !important;
         outline: none !important;
     }
-
     .timer-text {
         font-size: 1.3rem;
         font-weight: 600;
@@ -612,7 +591,6 @@ st.markdown("""
         50% {opacity: 0.4;}
         100% {opacity: 1;}
     }
-
     .summary-card {
         background-color: #f9f9f9;
         padding: 20px;
@@ -1199,5 +1177,4 @@ if st.session_state.get("show_summary", False):
             # Clear all session state keys and re-initialize to defaults
             keys_to_fully_clear = list(st.session_state.keys())
             for key_to_del_full in keys_to_fully_clear:
-                del st.session_state[key_to_del_full]
-           
+                del st.session_state[key_to_del_full]