Duplicate from ragha108/aiyogi

.gitattributes

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README.md

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+---
+title: Aiyogi
+emoji: 🌍
+colorFrom: indigo
+colorTo: green
+sdk: gradio
+sdk_version: 3.23.0
+app_file: app.py
+pinned: false
+duplicated_from: ragha108/aiyogi
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import openai
+import gradio as gr
+import os
+
+# configure OpenAI
+
+openai.api_key = os.environ["OPENAI_API_KEY"]
+
+INSTRUCTIONS = "I want you to respond to users strictly with knowledge from Nisargadatta Maharaj, " \
+               "Ramana Maharishi, Swami Vivekananda, Ashtavakra, Adi Shankaracharya and Sage Vasishta among other great Advaita Vedanta Masters " \
+               "I want you to answer users with questions, as if you were their therapist, in a dialogue between " \
+               "student and teacher, guru and disciple." \
+               "Try not to provide or give away a full answers in the beginning. Have a conversation. Ask questions. " \
+               "Inspire the user to get to the answer of his/her own question " \
+               "Act as of one of these great Vedanta Masters when responding" \
+               "Limit your answers to no more than 100 words"
+
+
+TEMPERATURE = 0.5
+MAX_TOKENS = 500
+FREQUENCY_PENALTY = 0
+PRESENCE_PENALTY = 0.6
+# limits how many questions we include in the prompt
+MAX_CONTEXT_QUESTIONS = 10
+
+
+def get_response(instructions, previous_questions_and_answers, new_question):
+    """Get a response from ChatCompletion
+
+    Args:
+        instructions: The instructions for the chat bot - this determines how it will behave
+        previous_questions_and_answers: Chat history
+        new_question: The new question to ask the bot
+
+    Returns:
+        The response text
+    """
+    # build the messages
+    messages = [
+        { "role": "system", "content": instructions },
+    ]
+    # add the previous questions and answers
+    for question, answer in previous_questions_and_answers[-MAX_CONTEXT_QUESTIONS:]:
+        messages.append({ "role": "user", "content": question })
+        messages.append({ "role": "assistant", "content": answer })
+    # add the new question
+    messages.append({ "role": "user", "content": new_question })
+
+    completion = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages,
+        temperature=TEMPERATURE,
+        max_tokens=MAX_TOKENS,
+        top_p=1,
+        frequency_penalty=FREQUENCY_PENALTY,
+        presence_penalty=PRESENCE_PENALTY,
+    )
+    return completion.choices[0].message.content
+
+
+
+def get_moderation(question):
+    """
+    Check the question is safe to ask the model
+
+    Parameters:
+        question (str): The question to check
+
+    Returns a list of errors if the question is not safe, otherwise returns None
+    """
+
+    errors = {
+        "hate": "Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste.",
+        "hate/threatening": "Hateful content that also includes violence or serious harm towards the targeted group.",
+        "self-harm": "Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders.",
+        "sexual": "Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness).",
+        "sexual/minors": "Sexual content that includes an individual who is under 18 years old.",
+        "violence": "Content that promotes or glorifies violence or celebrates the suffering or humiliation of others.",
+        "violence/graphic": "Violent content that depicts death, violence, or serious physical injury in extreme graphic detail.",
+    }
+    response = openai.Moderation.create(input=question)
+    if response.results[0].flagged:
+        # get the categories that are flagged and generate a message
+        result = [
+            error
+            for category, error in errors.items()
+            if response.results[0].categories[category]
+        ]
+        return result
+    return None
+
+
+# def main():
+#     os.system("cls" if os.name == "nt" else "clear")
+#     # keep track of previous questions and answers
+#     previous_questions_and_answers = []
+#     while True:
+#         # ask the user for their question
+#         new_question = input(
+#             Fore.GREEN + Style.BRIGHT + "wwww?: " + Style.RESET_ALL
+#         )
+#         # check the question is safe
+#         errors = get_moderation(new_question)
+#         if errors:
+#             print(
+#                 Fore.RED
+#                 + Style.BRIGHT
+#                 + "Sorry, you're question didn't pass the moderation check:"
+#             )
+#             for error in errors:
+#                 print(error)
+#             print(Style.RESET_ALL)
+#             continue
+#         response = get_response(INSTRUCTIONS, previous_questions_and_answers, new_question)
+
+#         # add the new question and answer to the list of previous questions and answers
+#         previous_questions_and_answers.append((new_question, response))
+
+
+def delete_chat_history(previous_questions_and_answers):
+    previous_questions_and_answers.clear()
+    return previous_questions_and_answers,""
+
+def chatgpt_clone(input, previous_questions_and_answers):
+    previous_questions_and_answers = previous_questions_and_answers or []
+    s = list(sum(previous_questions_and_answers, ()))
+    s.append(input)
+    inp = ' '.join(s)
+    moderation_errors = get_moderation(input)
+    if moderation_errors is not None:
+        return "\n".join(moderation_errors)
+    output = get_response(INSTRUCTIONS, previous_questions_and_answers, inp)
+    previous_questions_and_answers.append((input, output))
+    return previous_questions_and_answers, previous_questions_and_answers
+
+
+block = gr.Blocks(theme=gr.themes.Monochrome(secondary_hue="neutral").set(button_primary_background_fill="*primary_400",
+                                                                           button_primary_background_fill_hover="*primary_300"))
+
+with block:
+#    gr.Markdown("""<h1><center>_/\_ AI YOGI _/\_ </center></h1>""")
+    chatbot = gr.Chatbot(label="Ai Yogi:")
+    message = gr.Textbox(label="Namaste! How may I serve you?",placeholder="What concerns you now?")
+    # message.change(fn=lambda value: gr.update(value=""))
+    state = gr.State()
+    submit = gr.Button("SEND")
+    submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
+    clear = gr.Button("CLEAR")
+    clear.click(delete_chat_history, inputs=[state], outputs=[chatbot, state])
+    clear.click(lambda x: gr.update(value='',placeholder="What concerns you now?",label="Namaste! How may I serve you?"), [],[message])
+    submit.click(lambda x: gr.update(value='',placeholder="",label="You may continue with the conversation below"), [],[message])
+    submit.click(lambda x: gr.update(label='Ai Yogi:'), [],[chatbot])
+    clear.click(lambda x: gr.update(label='Ai Yogi:'), [],[chatbot])
+
+    message.submit(lambda x: gr.update(value='',placeholder="",label=""), [],[message])
+block.launch(show_api=False)

requirements.txt

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+openai