Create app.py

app.py

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+import traceback
+import streamlit as st
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+from langchain_openai import ChatOpenAI
+from langchain_anthropic import ChatAnthropic
+from langchain_google_genai import ChatGoogleGenerativeAI
+
+###### dotenv を利用する場合 ######
+try:
+    from dotenv import load_dotenv
+    load_dotenv()
+except ImportError:
+    import warnings
+    warnings.warn("dotenv not found. Please make sure to set your environment variables manually.", ImportWarning)
+################################################
+
+
+PROMPT = """
+## Task: Provide detailed and personalized career advice based on the user's current situation and aspirations.
+## User Information:
+- Current Career Status: {input_status}
+- Career Goals: {input_goal}
+- Skills and Experience: {input_skill}
+- Interests: {input_interest}
+- Preferred Work Environment: {input_environment}
+- Location: {input_location}
+- Challenges: {input_challenges}
+
+## Objective: Offer actionable and supportive career advice that helps the user achieve both their short-term and long-term goals. Include strategies for overcoming challenges, leveraging skills, and aligning with their interests and preferred work environment. Provide specific tips and recommendations tailored to the user's unique context.
+
+## Additional: Ensure the advice is clear, practical, and tailored to assist the user in making informed decisions about their career path.
+"""
+
+def init_page():
+    st.set_page_config(
+        page_title="Career Advice AI Agent",
+        page_icon="🧘"
+    )
+    st.header("Career Advice AI Agent🧘")
+
+
+def select_model(temperature=0):
+    models = ("GPT-4o","GPT-4o-mini", "Claude 3.5 Sonnet", "Gemini 1.5 Pro")
+    model_choice = st.radio("Choose a model:", models)
+    if model_choice == "GPT-4o":
+        return ChatOpenAI(temperature=temperature, model_name="gpt-4o")
+    elif model_choice == "GPT-4o-mini":
+        return ChatOpenAI(temperature=temperature, model_name="gpt-4o-mini")
+    elif model_choice == "Claude 3.5 Sonnet":
+        return ChatAnthropic(temperature=temperature, model_name="claude-3-5-sonnet-20240620")
+    elif model_choice == "Gemini 1.5 Pro":
+        return ChatGoogleGenerativeAI(temperature=temperature, model="gemini-1.5-pro-latest")
+
+def init_chain():
+    llm = select_model()
+    prompt = ChatPromptTemplate.from_messages([
+        ("user", PROMPT),
+    ])
+    output_parser = StrOutputParser()
+    chain = prompt | llm | output_parser
+    return chain
+
+def main():
+    init_page()
+    chain = init_chain()
+    if chain:
+        input_status = st.selectbox("Current Career Status",("Student", "Entry-Level Employee", "Senior-Level Employee", "Career Changer", "Unemployed/Job Seeker", "Entrepreneur"),key="input_status")
+        input_goal = st.text_input("Career Goals (e.g., Become recognized as an expert in digital marketing field)", key="input_goal")
+        input_skill = st.text_input("Skills and Experience (e.g., SEO and digital marketing)", key="input_skill")
+        input_interest = st.text_input("Interests (e.g., Data Science and Python)", key="input_interest")
+        input_environment = st.selectbox("Preferred work environment",("Corporate Office", "Startup", "Remote Work", "Freelance/Contract", "Government/Public Sector"),key="input_environment")
+        input_location = st.text_input("Location (e.g., Tokyo)", key="input_location")
+        input_challenges = st.text_input("Challenges (e.g., High competition for jobs in the field, making it difficult to stand out to employers.)", key="input_challenges")
+        if st.button("Submit"):
+            result = chain.stream({"input_status": input_status, "input_goal": input_goal, "input_skill": input_skill, "input_interest": input_interest, "input_environment": input_environment, "input_location": input_location, "input_challenges": input_challenges})
+            st.write(result)             
+                
+if __name__ == '__main__':
+    main()
+
+# Style adjustments (optional, remove if not needed)
+st.markdown(
+"""
+<style>
+/* Custom style adjustments */
+.st-emotion-cache-iiif1v { display: none !important; }
+</style>
+""",
+    unsafe_allow_html=True,
+)
+
+