Spaces:
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Removed extra user instructions input
Browse files- functions/gradio.py +3 -17
- resumate.py +7 -15
functions/gradio.py
CHANGED
@@ -38,7 +38,6 @@ def process_inputs(
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linkedin_pdf_path: str = None,
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github_username: str = None,
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job_post_text: str = None,
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-
user_instructions: str = None
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):
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"""
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Process the input files and URLs from the Gradio interface.
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@@ -47,7 +46,6 @@ def process_inputs(
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linkedin_pdf: (str) Path to uploaded LinkedIn resume export PDF file
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github_username (str): GitHub profile URL
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job_post_text (str): Job post text content
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user_instructions (str): Additional instructions from the user
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Returns:
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str: Formatted output with file and URL information
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@@ -57,7 +55,6 @@ def process_inputs(
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logger.info("LinkedIn PDF: %s", linkedin_pdf_path)
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logger.info("GitHub username: %s", github_username)
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logger.info("Job post: %s", clean_text_whitespace(job_post_text[:100]).replace("\n", " "))
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logger.info("User instructions: %s", user_instructions[:100] if user_instructions else "None")
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# ==================================================================== #
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# Extract and structure text from the linkedin profile PDF
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@@ -96,22 +93,10 @@ def process_inputs(
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else:
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logger.error("Job post parsing failed")
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# # ==================================================================== #
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# # Process user instructions
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# if user_instructions and user_instructions.strip():
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# result += "✅ Additional instructions provided\n"
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# logger.info("User instructions provided (%d characters)", len(user_instructions))
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# else:
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# result += "ℹ️ No additional instructions provided\n"
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# logger.info("No additional instructions provided")
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# logger.info("Input processing completed")
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# ==================================================================== #
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# Generate resume only if we have valid extraction results
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result =
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if linkedin_resume and github_repositories and job_post:
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logger.info("Generating resume with provided data")
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@@ -120,6 +105,7 @@ def process_inputs(
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except Exception as e:
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logger.error("Resume generation failed: %s", str(e))
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else:
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logger.warning("Resume generation skipped - content missing")
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linkedin_pdf_path: str = None,
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github_username: str = None,
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job_post_text: str = None,
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):
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"""
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Process the input files and URLs from the Gradio interface.
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linkedin_pdf: (str) Path to uploaded LinkedIn resume export PDF file
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github_username (str): GitHub profile URL
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job_post_text (str): Job post text content
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Returns:
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str: Formatted output with file and URL information
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logger.info("LinkedIn PDF: %s", linkedin_pdf_path)
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logger.info("GitHub username: %s", github_username)
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logger.info("Job post: %s", clean_text_whitespace(job_post_text[:100]).replace("\n", " "))
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# ==================================================================== #
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# Extract and structure text from the linkedin profile PDF
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else:
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logger.error("Job post parsing failed")
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# ==================================================================== #
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# Generate resume only if we have valid extraction results
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result = ""
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+
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if linkedin_resume and github_repositories and job_post:
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logger.info("Generating resume with provided data")
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except Exception as e:
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logger.error("Resume generation failed: %s", str(e))
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result = ""
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else:
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logger.warning("Resume generation skipped - content missing")
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resumate.py
CHANGED
@@ -16,6 +16,7 @@ To run:
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import gradio as gr
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from functions.gradio import process_inputs
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with gr.Blocks() as demo:
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gr.Markdown("# Resumate: tailored resume generator")
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@@ -62,27 +63,18 @@ with gr.Blocks() as demo:
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job_post = gr.Textbox(
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label="Job Post",
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placeholder="Copy and paste the job post text here"
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gr.Markdown("""
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## 4. Additional instructions (optional)
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Provide any additional instructions or adjustments for the resume writer agent. This could include specific formatting preferences, emphasis on certain skills, or any other customizations you'd like.
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""")
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user_instructions = gr.Textbox(
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label="Additional Instructions",
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placeholder="Enter any additional instructions for the resume writer (optional)",
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lines=3
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)
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submit_btn = gr.Button("Submit")
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submit_btn.click( # pylint: disable=no-member
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process_inputs,
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inputs=[linkedin_pdf, github_profile, job_post
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outputs=output
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)
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import gradio as gr
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from functions.gradio import process_inputs
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+
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with gr.Blocks() as demo:
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gr.Markdown("# Resumate: tailored resume generator")
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job_post = gr.Textbox(
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label="Job Post",
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placeholder="Copy and paste the job post text here",
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lines=1,
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max_lines=5
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)
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submit_btn = gr.Button("Submit")
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output = gr.Markdown(label="Generated Resume")
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submit_btn.click( # pylint: disable=no-member
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process_inputs,
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inputs=[linkedin_pdf, github_profile, job_post],
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outputs=output
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)
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