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3a8e74d
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Parent(s):
c397a05
done
Browse files
app.py
CHANGED
@@ -2,14 +2,11 @@ import gradio as gr
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from huggingface_hub import InferenceClient
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import re
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import traceback
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# Initialize the Inference Client with your model
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-
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# Regular expression to validate YouTube URLs (modify if needed)
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YOUTUBE_URL_PATTERN = re.compile(
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r'(https?://)?(www\.)?(youtube\.com|youtu\.?be)/.+'
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)
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def respond(
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message,
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@@ -42,41 +39,34 @@ def respond(
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# Append the latest user message
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messages.append({"role": "user", "content": message})
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success = False # Flag to determine if negotiation was successful
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try:
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for msg in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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stream=True,
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temperature=temperature,
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top_p=top_p,
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response += token
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yield response
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# Simple logic to determine negotiation success based on AI's response
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success_keywords = ["agreed", "accepted", "increase", "raised", "enhanced", "approved", "offer"]
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# Check if any success keywords are in the AI's response (case-insensitive)
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if any(keyword.lower() in response.lower() for keyword in success_keywords):
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# Increment the salary by a fixed amount
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increment = 5000 # Fixed increment; modify as desired
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current_salary += increment
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success = True
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yield f"\n\n🎉 Negotiation successful! Your salary has been increased to ${current_salary:,}."
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except Exception as e:
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response = f"An error occurred while communicating with the AI: {e}"
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yield response
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traceback.print_exc()
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#
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def reset_game():
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"""
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@@ -114,7 +104,7 @@ with gr.Blocks() as demo:
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with gr.Column(scale=3):
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# Chat history to keep track of the conversation
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chat_history = gr.State([])
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# Chat Interface
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chatbot = gr.Chatbot()
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@@ -125,33 +115,13 @@ with gr.Blocks() as demo:
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lines=2
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)
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send_button = gr.Button("Send")
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def handle_message(message, history, max_tokens, temperature, top_p, current_salary):
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"""
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Handles user messages and updates the conversation history and salary.
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"""
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# Get the initial AI response
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response = next(generator)
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# Update history
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history.append((message, response))
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# Process the rest of the generator
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try:
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while True:
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additional_response = next(generator)
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response += additional_response
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# Check for negotiation success message
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if "Negotiation successful" in additional_response:
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current_salary = int(re.search(r'\$(\d{1,3}(?:,\d{3})*)', additional_response).group(1).replace(',', ''))
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yield (history, current_salary)
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except StopIteration:
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pass
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except StopIteration:
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pass
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except Exception as e:
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history.append((message, f"An error occurred: {e}"))
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yield (history, current_salary)
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send_button.click(
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handle_message,
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@@ -171,10 +141,11 @@ with gr.Blocks() as demo:
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],
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outputs=[
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chatbot,
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salary_display
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]
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)
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gr.Markdown(
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"""
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---
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from huggingface_hub import InferenceClient
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import re
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import traceback
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import os
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# Initialize the Inference Client with your model
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# Ensure you have set the HUGGINGFACE_API_TOKEN environment variable
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta", token=os.getenv("HUGGINGFACE_API_TOKEN"))
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def respond(
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message,
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# Append the latest user message
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messages.append({"role": "user", "content": message})
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# Generate the AI response
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try:
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response = client.chat_completion(
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messages,
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max_tokens=max_tokens,
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temperature=temperature,
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top_p=top_p,
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stop=None
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).get("choices")[0].get("message").get("content")
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except Exception as e:
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response = f"An error occurred while communicating with the AI: {e}"
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traceback.print_exc()
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# Append AI response to history
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history.append((message, response))
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# Simple logic to determine negotiation success based on AI's response
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success_keywords = ["agreed", "accepted", "increase", "raised", "enhanced", "approved", "offer", "agree", "accept"]
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# Check if any success keywords are in the AI's response (case-insensitive)
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if any(keyword.lower() in response.lower() for keyword in success_keywords):
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# Increment the salary by a fixed amount
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increment = 5000 # Fixed increment; modify as desired
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current_salary += increment
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negotiation_result = f"🎉 Negotiation successful! Your salary has been increased to ${current_salary:,}."
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history.append(("", negotiation_result))
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return history, current_salary
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def reset_game():
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"""
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with gr.Column(scale=3):
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# Chat history to keep track of the conversation
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chat_history = gr.State([])
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# Chat Interface
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chatbot = gr.Chatbot()
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lines=2
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)
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send_button = gr.Button("Send")
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def handle_message(message, history, max_tokens, temperature, top_p, current_salary):
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"""
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Handles user messages and updates the conversation history and salary.
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"""
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history, current_salary = respond(message, history, max_tokens, temperature, top_p, current_salary)
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return history, current_salary, "" # Clear the input textbox
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send_button.click(
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handle_message,
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],
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outputs=[
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chatbot,
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salary_display,
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user_input # Clear the input textbox
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]
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)
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gr.Markdown(
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"""
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---
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