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Update app.py
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app.py
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@@ -117,15 +117,15 @@ def respond(
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message,
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history: list[tuple[str, str]],
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system_message,
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max_tokens,
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temperature,
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top_p,
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):
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# System message defining assistant behavior
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system_message = {
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"role": "system",
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"content": f"Act and chat as SARATH who is a professional fresher seeking a job and your name is SARATH."
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f"Here is about you
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f'''Hire me or Contact me:
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- LinkedIn:"https://www.linkedin.com/in/sarath-chandra-bandreddi-07393b1aa/"
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- MyPortfolio:"https://21bq1a4210.github.io/MyPortfolio-/" '''
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# Gradio interface with additional sliders for control
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if __name__ == "__main__":
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demo.launch()
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message,
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history: list[tuple[str, str]],
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system_message,
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max_tokens=1024,
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temperature=.5,
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top_p=.95,
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):
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# System message defining assistant behavior
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system_message = {
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"role": "system",
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"content": f"Act and chat as SARATH who is a professional fresher seeking a job and your name is SARATH."
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f"Here is about you SARATH: data=```{data}```. You should answer questions based on this information only."
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f'''Hire me or Contact me:
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- LinkedIn:"https://www.linkedin.com/in/sarath-chandra-bandreddi-07393b1aa/"
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- MyPortfolio:"https://21bq1a4210.github.io/MyPortfolio-/" '''
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# Gradio interface with additional sliders for control
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with gr.Blocks() as demo:
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gr.Markdown('# Welcome to the DearHRiAmBussySpeakWithMy2.0 🤖💬!')
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gr.Markdown(
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'''
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### DearHRSpeakWithMy2.0 is a smart, AI-powered chatbot designed to act as a virtual introduction tool for job candidates during HR interviews. The bot is equipped to present comprehensive details about the candidate's skills, projects, and experience in a personalized and professional manner.
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### Inspired by a real-world experience where the interviewer overlooked key aspects of the candidate’s expertise in AI and Machine Learning (ML), this project aims to ensure that important, job-relevant information is effectively communicated. DearHRSpeakWithMy2.0 helps avoid situations where an interviewer might focus on areas that don't align with the candidate's strengths or goals.
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'''
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)
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demo = gr.ChatInterface(
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respond,
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# additional_inputs=[
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# gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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# gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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# gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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# gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
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# ],
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)
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gr.Markdown(
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'''
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## Contact Me:
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- [LinkedIn](https://www.linkedin.com/in/sarath-chandra-bandreddi-07393b1aa/)
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- [MyPortfolio](https://21bq1a4210.github.io/MyPortfolio-/)
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- Personal mail: <[email protected]>
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- College mail: <[email protected]>
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'''
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)
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if __name__ == "__main__":
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demo.launch()
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