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Update app.py
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app.py
CHANGED
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@@ -724,7 +724,7 @@ if st.session_state["selected_domain"] == "Soft Skills":
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st.warning("⚠️ Please upload a resume.")
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st.stop()
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prompt = f"Ask {num_qs} HR-style interview questions based on this resume: {input_text}"
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model = genai.GenerativeModel('gemini-
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response = model.generate_content([prompt])
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questions = [q.strip("* ") for q in response.text.strip().split("\n") if q.strip()]
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st.session_state["generated_questions"] = questions[:num_qs]
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@@ -865,7 +865,7 @@ else:
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st.session_state["generated_questions"] = sample(questions_from_excel, min(num_qs, len(questions_from_excel)))
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else:
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prompt = f"Ask {num_qs} direct and core-level {difficulty} interview questions related to {input_text}. Do not include intros or numbering."
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model = genai.GenerativeModel('gemini-
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response = model.generate_content([prompt, input_text])
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lines = response.text.strip().split("\n")
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questions = [q.strip("* ") for q in lines if q.strip()]
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st.warning("⚠️ Please upload a resume.")
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st.stop()
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prompt = f"Ask {num_qs} HR-style interview questions based on this resume: {input_text}"
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model = genai.GenerativeModel('gemini-2.0-flash-lite')
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response = model.generate_content([prompt])
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questions = [q.strip("* ") for q in response.text.strip().split("\n") if q.strip()]
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st.session_state["generated_questions"] = questions[:num_qs]
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st.session_state["generated_questions"] = sample(questions_from_excel, min(num_qs, len(questions_from_excel)))
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| 866 |
else:
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prompt = f"Ask {num_qs} direct and core-level {difficulty} interview questions related to {input_text}. Do not include intros or numbering."
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| 868 |
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model = genai.GenerativeModel('gemini-2.0-flash-lite')
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response = model.generate_content([prompt, input_text])
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| 870 |
lines = response.text.strip().split("\n")
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questions = [q.strip("* ") for q in lines if q.strip()]
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