Create app.py

app.py

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+import streamlit as st
+from datetime import datetime
+import os
+import requests
+from fpdf import FPDF
+
+# Function to generate interview questions using Gemini API
+def generate_interview(data):
+    api_key = os.environ.get("GEMINI_API_KEY")
+    if not api_key:
+        return "❌ GEMINI_API_KEY is not set. Please add it in the Hugging Face 'Secrets'."
+
+    prompt = f"""
+    Generate a comprehensive mock interview for a candidate with the following details:
+
+    - Name: {data['name']}
+    - Father's Name: {data['father_name']}
+    - District of Domicile: {data['district']}
+    - Degrees: {data['degrees']}
+    - Subject: {data['subject']}
+    - Department Preparing For: {data['department']}
+    - Hobby: {data['hobby']}
+    - Favorite Personality: {data['favorite_personality']}
+
+    The interview should include:
+    - Questions about the candidate's name and any notable personalities with the same name.
+    - Questions related to the candidate's district, including famous personalities, places, demographics, and administrative issues.
+    - Questions pertaining to the candidate's degrees and subject matter.
+    - Questions about the department the candidate is preparing for.
+    - General knowledge questions covering geography, national and international issues, sports, and recent government projects in Pakistan related to the candidate's field.
+    - Situational and behavioral questions.
+
+    Provide the questions in a numbered list format.
+    """
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {api_key}"
+    }
+
+    payload = {
+        "contents": [{"parts": [{"text": prompt}]}]
+    }
+
+    response = requests.post(
+        "https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent",
+        headers=headers,
+        json=payload
+    )
+
+    if response.status_code == 200:
+        result = response.json()
+        try:
+            return result['candidates'][0]['content']['parts'][0]['text']
+        except (KeyError, IndexError):
+            return "❌ Unexpected response format from Gemini API."
+    else:
+        return f"❌ Error {response.status_code}: {response.text}"
+
+# Function to create a PDF from the interview text
+def create_pdf(interview_text, candidate_name):
+    pdf = FPDF()
+    pdf.add_page()
+    pdf.set_auto_page_break(auto=True, margin=15)
+    pdf.set_font("Arial", size=12)
+    lines = interview_text.split('\n')
+    for line in lines:
+        pdf.multi_cell(0, 10, line)
+    filename = f"{candidate_name.replace(' ', '_')}_Interview.pdf"
+    pdf.output(filename)
+    return filename
+
+# Streamlit App
+st.set_page_config(page_title="Mock Interview Generator", layout="centered")
+st.title("🎓 Mock Interview Generator for Pakistani Competitive Exams")
+
+with st.form("interview_form"):
+    name = st.text_input("Full Name")
+    father_name = st.text_input("Father's Name")
+    district = st.text_input("District of Domicile")
+    degrees = st.text_input("Degrees (e.g., BSc, MSc)")
+    subject = st.text_input("Subject")
+    department = st.text_input("Department Preparing For")
+    hobby = st.text_input("Hobby")
+    favorite_personality = st.text_input("Favorite Personality")
+    submitted = st.form_submit_button("Generate Interview")
+
+if submitted:
+    if all([name, father_name, district, degrees, subject, department, hobby, favorite_personality]):
+        data = {
+            "name": name,
+            "father_name": father_name,
+            "district": district,
+            "degrees": degrees,
+            "subject": subject,
+            "department": department,
+            "hobby": hobby,
+            "favorite_personality": favorite_personality
+        }
+        with st.spinner("Generating interview..."):
+            interview = generate_interview(data)
+        st.success("✅ Interview Generated!")
+        st.text_area("📄 Interview Questions", interview, height=400)
+        pdf_file = create_pdf(interview, name)
+        with open(pdf_file, "rb") as file:
+            st.download_button(
+                label="📥 Download Interview as PDF",
+                data=file,
+                file_name=pdf_file,
+                mime="application/pdf"
+            )
+    else:
+        st.warning("Please fill in all the fields.")