v0.1.1update

.streamlit/secrets.toml

@@ -0,0 +1,4 @@
+openai.organization = "org-PKfUSNXJSLNqWsYbubAwas81"
+OPENAI_API_KEY = "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"
+aws_secret_access_key = "b60UL0yN1mU3iiPQKvunR3J8K/h/flSlCy7UA1wV"
+aws_access_key_id = "AKIATDEYCF7UTWRIFRUC"

Homepage.py

@@ -17,8 +17,15 @@ def load_lottiefile(filepath: str):
 
     st.markdown('### GPTInterviewer - V0.1.1')
     st.markdown("""  
+    #### Let's contact:
+    [Haoxiang Jia](https://www.linkedin.com/in/haoxiang-jia/)
     
-    #### What's Next? 
+    [Zicheng Wang](https://www.linkedin.com/in/todd-wang-5001aa264/)
+    
+    #### Please fill the form, we'd love to have your feedback:
+    [Feedback Form](https://docs.google.com/forms/d/13f4q03bk4lD7sKR7qZ8UM1lQDo6NhRaAKv7uIeXHEaQ/edit)
+    
+    #### What's next? 
     
     v0.1.2: 
     1. A more robust llm-powered evaluation system.
@@ -32,13 +39,6 @@ def load_lottiefile(filepath: str):
     
     [Langchain](https://github.com/hwchase17/langchain)
     
-    #### Addition
-    We're trying to access GPT-4 for everyone to use.
-    
-    Feel free to contact us if you have any questions or suggestions.
-    
-    (Email: [email protected])
-    
                 """)
 
 st.markdown("<hr>", unsafe_allow_html=True)
@@ -81,5 +81,4 @@ def load_lottiefile(filepath: str):
 
 
 st.markdown("<hr>", unsafe_allow_html=True)
-st.markdown("<p style='text-align: center; color: grey;'> Contact: [email protected] </p>", unsafe_allow_html=True)
 st.markdown("<p style='text-align: center; color: grey;'> Fordham University Center of Digital Transformation DesignLAB </p>", unsafe_allow_html=True)

pages/Resume Screen.py

@@ -23,7 +23,11 @@
 from IPython.display import Audio
 
 ### ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————
-#nltk.download('punkt')
+
+try:
+    nltk.data.find('tokenizers/punkt')
+except LookupError:
+    nltk.download('punkt')
 
 def load_lottiefile(filepath: str):
     with open(filepath, "r") as f:

pages/Technical Screen.py

@@ -36,12 +36,6 @@ def load_lottiefile(filepath: str):
     - Start introduce yourself and enjoy！ """)
 jd = st.text_area("Please enter the job description here (If you don't have one, enter keywords, such as PostgreSQL or Python instead): ")
 
-with st.sidebar:
-    st.markdown("### What's next?")
-    st.write("""
-                For example, if the job description requires knowledge of data mining, GPT Interviewer will ask you questions like "Explains overfitting or How does backpropagation work?" 
-             """)
-
 ### ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————
 @dataclass
 class Message:

prompts/examples.py

@@ -0,0 +1 @@
+""" examples for few-shot prompts"""

prompts/prompt_selector.py

@@ -1,5 +1,8 @@
 from langchain.prompts import PromptTemplate
 def prompt_sector(position: str, prompts: classmethod) -> dict:
+
+    """ Select the prompt template based on the position """
+
     if position == 'Data Analyst':
         PROMPT = PromptTemplate(
             template= prompts.da_template, input_variables=["context", "question"]