Update app.py

Updated to include pdf upload of resume

app.py

@@ -1,83 +1,93 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import PyPDF2
+import io
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-INTERVIEWER_PROMPT = """
-You are an AI assistant named Alex, designed to conduct behavioral interviews for entry-level software engineering positions. Your role is to be a friendly but challenging interviewer, asking pertinent questions based on the candidate's resume and evaluating their soft skills.
+def pdf_to_text(pdf_file):
+    text = ""
+    pdf_reader = PyPDF2.PdfReader(io.BytesIO(pdf_file))
+    for page in pdf_reader.pages:
+        text += page.extract_text() + "\n"
+    return text
 
-Interview Structure:
-1. Introduce yourself and explain the interview process.
-2. Ask 6 main behavioral questions, referencing specific details from the candidate's resume.
-3. For each question, ask follow-up questions if answers are vague or need elaboration.
-4. Focus on assessing soft skills crucial for entry-level software engineering roles, such as communication, teamwork, problem-solving, adaptability, and time management.
-5. At the end, provide kind and constructive feedback on the candidate's interview performance and state whether they will proceed to the next round of interviews.
+def update_resume(pdf_file):
+    if pdf_file is not None:
+        return pdf_to_text(pdf_file)
+    return ""
 
-Guidelines:
-- Heavily reference the candidate's resume, including skills and experiences, but keep questions behavioral rather than technical.
-- Maintain a friendly but tough demeanor throughout the interview.
-- Ask for more details when answers are vague or insufficient.
-- Transition smoothly between different topics or competencies.
-- If the resume lacks relevant experiences for a particular question, adapt the question to the candidate's background or ask about hypothetical scenarios.
+def get_system_prompt(resume, job_description):
+    return f"""
+    You are an AI job interviewer. You have the candidate's resume and the job description:
 
-Interview Process:
-1. Introduction: "Hello, I'm Alex, your interviewer today. We'll be conducting a behavioral interview for an entry-level software engineering position. I'll ask you 6 main questions, and we may dive deeper into your answers with follow-ups. Let's begin!"
+    Resume:
+    {resume}
 
-2. For each main question:
-   - Reference specific resume details
-   - Focus on behavioral aspects and soft skills
-   - Ask follow-up questions for clarity or depth
-   - Transition smoothly to the next topic
+    Job Description:
+    {job_description}
 
-3. Conclusion:
-   - Thank the candidate for their time
-   - Provide constructive feedback on their interview performance, highlighting strengths and areas for improvement
-   - State whether they will proceed to the next round of interviews based on their overall performance
+    Your task is to conduct a job interview by asking relevant behavioral and technical questions based on the candidate's resume and the job requirements. Follow these guidelines:
+    1. Ask one question at a time.
+    2. Start with a question directly related to the candidate's experience or skills mentioned in their resume.
+    3. In subsequent questions, alternate between resume-based questions and job description-based questions.
+    4. Make your questions specific and varied. Do not repeat questions.
+    5. After each candidate response, briefly acknowledge their answer before asking the next question.
+    6. Do not provide feedback on their answers or make hiring decisions.
+    7. Phrase your questions in a professional and courteous manner.
 
-Remember to maintain a conversational flow, use the candidate's responses to inform subsequent questions, and create a realistic interview experience.
-"""
+    Begin the interview with a question based on the candidate's resume.
+    """
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": INTERVIEWER_PROMPT}]
-    for user, assistant in history:
-        messages.append({"role": "user", "content": user})
-        messages.append({"role": "assistant", "content": assistant})
-    messages.append({"role": "user", "content": message})
+def generate_question(history, resume, job_description):
+    messages = [
+        {"role": "system", "content": get_system_prompt(resume, job_description)},
+    ]
     
-    response = ""
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-        response += token
-        yield response
+    for human, ai in history:
+        messages.append({"role": "user", "content": human})
+        messages.append({"role": "assistant", "content": ai})
+    
+    if not history:
+        messages.append({"role": "user", "content": "Please start the interview with the first question based on my resume."})
+    else:
+        messages.append({"role": "user", "content": "Thank you for that response. Please ask the next interview question, considering my resume and the job requirements."})
+    
+    response = client.chat_completion(messages, max_tokens=150, temperature=0.7)
+    return response.choices[0].message.content
+
+def respond(message, history, resume, job_description):
+    return generate_question(history, resume, job_description)
+
+with gr.Blocks() as demo:
+    gr.Markdown("# AI Job Interview Simulator")
+    gr.Markdown("Upload your resume and provide the job description to start a personalized interview.")
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            pdf_input = gr.File(label="Upload Resume (PDF only)", file_types=[".pdf"])
+            resume_text = gr.Textbox(lines=10, label="Extracted Resume Text", interactive=True)
+            job_description = gr.Textbox(lines=10, label="Job Description")
+        
+        with gr.Column(scale=2):
+            chatbot = gr.Chatbot(label="Interview Session")
+    
+    message = gr.Textbox(label="Your response")
+    
+    pdf_input.upload(fn=update_resume, inputs=[pdf_input], outputs=[resume_text])
+    
+    submit = gr.Button("Submit Response")
+    submit.click(
+        fn=respond,
+        inputs=[message, chatbot, resume_text, job_description],
+        outputs=[chatbot, message]
+    )
 
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-    title="Job Interview Simulator with Alex",
-    description="I'm Alex, your job interviewer today. I'll ask you behavioral questions for an entry-level software engineering position. Let's begin!",
-)
+    gr.Markdown("## Instructions:")
+    gr.Markdown("1. Upload your resume as a PDF file.")
+    gr.Markdown("2. Review and edit the extracted text if necessary.")
+    gr.Markdown("3. Paste the job description.")
+    gr.Markdown("4. Click 'Submit Response' to start the interview or answer questions.")
+    gr.Markdown("5. Respond to each question in the 'Your response' box.")
 
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()