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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Arial[[:space:]]Unicode.ttf filter=lfs diff=lfs merge=lfs -text

Arial Unicode.ttf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:876af2cd4854644e7f3e7feb2f688997fdb3343c6df6693611209c9dfb47ccec
+size 23278008

app.py

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+from reportlab.pdfgen import canvas
+from reportlab.pdfbase.ttfonts import TTFont
+from reportlab.pdfbase import pdfmetrics
+from PyPDF2 import PdfReader
+from PyPDF2 import PdfWriter
+import openai
+import uuid
+import os
+import gradio as gr
+
+# 確保字體文件和模板文件存在於同一目錄
+pdfmetrics.registerFont(TTFont("ArialUnicode", "./Arial Unicode.ttf"))
+
+def draw_data_on_template(template_path, name, email, phone, education, experience, skills, social_media):
+    try:
+        temp_pdf_path = f"./{uuid.uuid4()}_temp.pdf"
+        c = canvas.Canvas(temp_pdf_path)
+        c.setFont("ArialUnicode", 22)
+        c.drawString(15, 750, f"Name: {name}")
+        c.drawString(15, 680, f"Email: {email}")
+        c.drawString(15, 610, f"Phone: {phone}")
+        c.drawString(15, 540, f"Education: {education}")
+        c.drawString(15, 470, f"Work Experience: {experience}")
+        c.drawString(15, 340, f"Skills: {skills}")
+        c.drawString(15, 200, f"Social Media: {social_media}")
+        c.save()
+
+        # 加載模板 PDF
+        reader = PdfReader(template_path)
+        template_page = reader.pages[0]
+        content_reader = PdfReader(temp_pdf_path)
+        content_page = content_reader.pages[0]
+        template_page.merge_page(content_page)
+
+        merged_pdf_path = f"./{uuid.uuid4()}_merged.pdf"
+        writer = PdfWriter()
+        writer.add_page(template_page)
+        with open(merged_pdf_path, "wb") as output_file:
+            writer.write(output_file)
+        os.remove(temp_pdf_path)
+        return merged_pdf_path
+    except Exception as e:
+        return f"Error in Drawing Data on Template: {str(e)}"
+
+def recommend_jobs(api_key, skills):
+    try:
+        openai.api_key = api_key
+        skills_list = [skill.strip() for skill in skills.split(",") if skill.strip()]
+        if not skills_list:
+            return "Error: No valid skills provided."
+        prompt = f"請用正體中文回覆，根據以下技能推薦適合的職位：{', '.join(skills_list)}"
+        response = openai.ChatCompletion.create(
+            model="gpt-4",
+            messages=[{"role": "user", "content": prompt}]
+        )
+        if not response.choices:
+            return "Error: OpenAI API returned no results."
+        return response.choices[0].message['content'].strip()
+    except Exception as e:
+        return f"Error in Job Recommendation: {str(e)}"
+
+def validate_and_process(api_key, name, email, phone, education, experience, skills, social_media):
+    errors = []
+    if not name.strip():
+        errors.append("Name不能為空.")
+    if not email.strip():
+        errors.append("Email不能為空.")
+    if not phone.strip():
+        errors.append("Phone不能為空.")
+    if not education.strip():
+        errors.append("Education不能為空.")
+    if not skills.strip():
+        errors.append("Skills不能為空.")
+
+    if errors:
+        return None, "\n".join(errors), "請填寫完整後重試！"
+
+    template_path = "./resume_null.pdf"  # 確保模板文件上傳至同一目錄
+    merged_pdf = draw_data_on_template(template_path, name, email, phone, education, experience, skills, social_media)
+    if isinstance(merged_pdf, str) and merged_pdf.startswith("Error"):
+        return None, merged_pdf, "Merging with template failed."
+
+    job_recommendations = recommend_jobs(api_key, skills)
+    if job_recommendations.startswith("Error"):
+        return merged_pdf, "Resume generated successfully!", job_recommendations
+    return merged_pdf, "Resume generated successfully!", job_recommendations
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 自動生成簡歷工具")
+    api_key = gr.Textbox(label="OpenAI API Key", placeholder="請輸入您的 OpenAI API Key", type="password")
+    name = gr.Textbox(label="Name（必填）", placeholder="例：王小明")
+    email = gr.Textbox(label="Email（必填）", placeholder="a1234567890@example.com")
+    phone = gr.Textbox(label="Phone（必填）", placeholder="0912345678")
+    education = gr.Textbox(label="Education（必填）", placeholder="例：學位、主修、學校")
+    experience = gr.Textbox(label="Work Experience", placeholder="例：實習、兼職工作")
+    skills = gr.Textbox(label="Skills（必填）", placeholder="例：Python, Teaching, Data Analysis (多項技能用,分隔)")
+    social_media = gr.Textbox(label="Social Media", placeholder="例：LinkedIn URL")
+    pdf_output = gr.File(label="Download Your Resume")
+    status = gr.Textbox(label="Status / Error", interactive=False)
+    job_recommendations = gr.Textbox(label="Recommended Jobs", interactive=False)
+
+    generate_button = gr.Button("Generate Resume & Recommend Jobs")
+    generate_button.click(
+        validate_and_process,
+        inputs=[api_key, name, email, phone, education, experience, skills, social_media],
+        outputs=[pdf_output, status, job_recommendations]
+    )
+
+demo.launch()

requirements.txt

@@ -0,0 +1,5 @@
+gradio
+fpdf
+openai==0.28.0
+PyPDF2 >= 3.0.0
+reportlab