Create app.py

app.py

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+import gradio as gr
+from langchain_openai import ChatOpenAI
+from langchain.prompts import PromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+from langchain.chains import LLMChain
+import os
+
+# Create Gradio interface function with topic as input
+def generate_cover_letter(api_key, job_role, company_name, company_context, candidate_profile):
+    # Set the API key as an environment variable
+    os.environ["OPENAI_API_KEY"] = api_key
+
+    # Load the LLM model
+    model_name = "gpt-3.5-turbo"
+    llm = ChatOpenAI(model_name=model_name)
+
+    # Define the chain and LLM
+    prompt = PromptTemplate.from_template("""
+    So, I am applying for {job_role} at {company_name}
+    =================
+    {company_context}
+    =================
+    {candidate_profile}
+    =================
+    From the company profile and my profile, please create a cover letter for the {job_role} position. Ensure that it is well-crafted and engaging for recruiters and hiring managers. Also, verify that my recent work experience and academic background align with the role I am applying for.
+    """)
+    output_parser = StrOutputParser()
+    chain = LLMChain(llm=llm, prompt=prompt)
+
+    output = chain.run(job_role=job_role, company_name=company_name, company_context=company_context, candidate_profile=candidate_profile)
+    return output
+
+# Create Gradio interface
+gr.Interface(
+    fn=generate_cover_letter,
+    inputs=[
+        gr.Textbox(label="OpenAI API Key", placeholder="Enter your OpenAI API key here"),
+        gr.Textbox(label="Job Role", placeholder="Ex: Data Scientist, Fullstack Developer, etc."),
+        gr.Textbox(label="Company Name", placeholder="Enter a company name you applying"),
+        gr.Textbox(label="Company Context", placeholder="Enter a brief description of the company"),
+        gr.Textbox(label="Candidate Profile", placeholder="Describe your professional background, key skills, and relevant experiences")
+    ],
+    outputs=gr.Textbox(label="Generated Cover Letter", show_copy_button=True),
+    title="Cover Letter Generator",
+    description="Generate a cover letter based on your job role, company, context, and profile."
+).launch()