Spaces:
Sleeping
Sleeping
app.py
CHANGED
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@@ -41,67 +41,67 @@ def greet(input):
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"answer": "Collective bargaining of salary."
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})
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"question": "How much are union dues, and what do they cover?",
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"answer": "The union dues for our union is 3%."
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})
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"question": "How does the union handle grievances and disputes?",
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"answer": "There will be a panel to oversee disputes"
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})
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"question": "Will joining a union affect my job security?",
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"answer": "No."
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})
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"question": "What is the process for joining a union?",
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"answer": "Please use the contact form."
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})
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"question": "How do unions negotiate contracts with employers?",
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"answer": "Our dear leader will handle the negotiations."
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})
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"question": "What role do I play as a union member?",
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"answer": "You will be invited to our monthly picnics"
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})
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"question": "How do unions ensure that employers comply with agreements?",
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"answer": "We will have a monthly meeting for members"
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})
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"question": "Can I be forced to join a union?",
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"answer": "What kind of questions is that! Of course no!"
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})
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"question": "What happens if I disagree with the union’s decisions?",
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"answer": "We will agree to disagree"
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})
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<|im_start|>system\n{sys_str}<|im_end|>
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<|im_start|>question\n{ques_str}<|im_end|>
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<|im_start|>answer\n{ans}<|im_end|>
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"""
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{n_prompt_str}
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<|im_start|>system\n{sys_str}<|im_end|>
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@@ -111,20 +111,20 @@ def greet(input):
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"""
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#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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#iface.launch()
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"answer": "Collective bargaining of salary."
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})
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qa_list.append({
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"question": "How much are union dues, and what do they cover?",
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"answer": "The union dues for our union is 3%."
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})
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qa_list.append({
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"question": "How does the union handle grievances and disputes?",
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"answer": "There will be a panel to oversee disputes"
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})
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qa_list.append({
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"question": "Will joining a union affect my job security?",
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"answer": "No."
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})
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qa_list.append({
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"question": "What is the process for joining a union?",
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"answer": "Please use the contact form."
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})
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qa_list.append({
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"question": "How do unions negotiate contracts with employers?",
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"answer": "Our dear leader will handle the negotiations."
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})
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qa_list.append({
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"question": "What role do I play as a union member?",
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"answer": "You will be invited to our monthly picnics"
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})
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qa_list.append({
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"question": "How do unions ensure that employers comply with agreements?",
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"answer": "We will have a monthly meeting for members"
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})
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qa_list.append({
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"question": "Can I be forced to join a union?",
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"answer": "What kind of questions is that! Of course no!"
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})
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qa_list.append({
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"question": "What happens if I disagree with the union’s decisions?",
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"answer": "We will agree to disagree"
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})
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for qna in qa:
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ques_str = qna["question"]
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ans_str = qna["answer"]
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n_prompt_list.append(f"""
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<|im_start|>system\n{sys_str}<|im_end|>
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<|im_start|>question\n{ques_str}<|im_end|>
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<|im_start|>answer\n{ans}<|im_end|>
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"""
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)
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n_prompt_str = "\n"
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for prompt in n_prompt_list:
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n_prompt_str = n_prompt_str + prompt + "\n"
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total_prompt=f"""
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{n_prompt_str}
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<|im_start|>system\n{sys_str}<|im_end|>
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"""
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print("***total_prompt:")
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print(total_prompt)
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response = get_completion(total_prompt)
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#gen_text = response["predictions"][0]["generated_text"]
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#return json.dumps(extract_json(gen_text, 3))
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###gen_text = response["choices"][0]["text"]
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#return gen_text
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###return json.dumps(extract_json(gen_text, -1))
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return response
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#return json.dumps(response)
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#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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#iface.launch()
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