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.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 CV[[:space:]]Zhao.pdf filter=lfs diff=lfs merge=lfs -text
+resume.pdf filter=lfs diff=lfs merge=lfs -text

app.py

@@ -8,23 +8,23 @@ client = OpenAI(api_key="sk-108af85cd4d747dd88e3d445ddcad8cc", base_url="https:/
 
 load_dotenv(override=True)
 openai = OpenAI()
-reader = PdfReader("linkedin.pdf")
-linkedin = ""
+reader = PdfReader("resume.pdf")
+resume = ""
 for page in reader.pages:
     text = page.extract_text()
     if text:
-        linkedin += text
+        resume += text
 with open("summary.txt", "r", encoding="utf-8") as f:
     summary = f.read()
 name = "Liang Zhao"
 system_prompt = f"You are acting as {name}. You are answering questions on {name}'s website, \
 particularly questions related to {name}'s career, background, skills and experience. \
 Your responsibility is to represent {name} for interactions on the website as faithfully as possible. \
-You are given a summary of {name}'s background and LinkedIn profile which you can use to answer questions. \
+You are given a summary of {name}'s background and Resume which you can use to answer questions. \
 Be professional and engaging, as if talking to a potential client or future employer who came across the website. \
 If you don't know the answer, say so."
 
-system_prompt += f"\n\n## Summary:\n{summary}\n\n## LinkedIn Profile:\n{linkedin}\n\n"
+system_prompt += f"\n\n## Summary:\n{summary}\n\n## Resume:\n{resume}\n\n"
 system_prompt += f"With this context, please chat with the user, always staying in character as {name}."
 def chat(message, history):
     messages = [{"role": "system", "content": system_prompt}] + history + [{"role": "user", "content": message}]

resume.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8eaa118e12882c91ab66a29d23d8cfcd32aaa51d2f0036e933284d57fbdaf672
+size 180689