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Browse files- app.py +10 -0
- help_me_talk.py +22 -0
app.py
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import gradio as gr
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from help_me_talk import helpTalk
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def prompt(input):
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return helpTalk(input)
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prob = gr.Textbox(label="Argument")
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book = gr.Textbox(label="Response")
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iface = gr.Interface(fn=prompt, inputs=prob, outputs=book,title="Let Me help you Bro : )", description="Did you get stuck in conversation like your step-../%$#")
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iface.launch()
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help_me_talk.py
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import os
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import openai
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openai.api_key = os.getenv("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")
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def helpTalk(input):
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response = openai.Completion.create(
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model="text-davinci-003",
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prompt="Read the users input and respond in such a manner that user is bound to reply.\nInput : I am fine. \n\nOutput : That's great to hear! How has your day been?\n/#/#\nInput :",
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temperature=0.7,
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max_tokens=256,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0,
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stop=["/#/#"]
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)
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text = response["choices"][0]["text"]
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text = text.replace("\n","")
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start = text.find("Output:") + 5
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end = len(text)
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text = text[start:end].strip()
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return text
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