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Pranav0111
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5b1e589
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Parent(s):
5e1b314
Update app.py
Browse files
app.py
CHANGED
@@ -1,12 +1,16 @@
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import gradio as gr
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from transformers import pipeline
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import openai
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import random
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from datetime import datetime
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# Initialize sentiment analysis pipeline
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sentiment_analyzer = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
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class JournalCompanion:
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def __init__(self):
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self.entries = []
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@@ -49,7 +53,7 @@ class JournalCompanion:
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prompt_request = f"Generate three reflective journal prompts for a person feeling {sentiment.lower()}."
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try:
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response = openai.Completion.create(
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engine="
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prompt=prompt_request,
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max_tokens=60,
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n=1
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@@ -64,7 +68,7 @@ class JournalCompanion:
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affirmation_request = f"Generate an affirmation for someone who is feeling {sentiment.lower()}."
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try:
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response = openai.Completion.create(
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engine="
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prompt=affirmation_request,
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max_tokens=20,
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n=1
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import gradio as gr
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from transformers import pipeline
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import openai
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import random
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import os
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from datetime import datetime
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# Initialize sentiment analysis pipeline
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sentiment_analyzer = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
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# Retrieve OpenAI API key from Hugging Face secret
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openai.api_key = os.getenv("open_AI_API_key")
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class JournalCompanion:
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def __init__(self):
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self.entries = []
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prompt_request = f"Generate three reflective journal prompts for a person feeling {sentiment.lower()}."
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try:
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response = openai.Completion.create(
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engine="text-davinci-003",
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prompt=prompt_request,
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max_tokens=60,
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n=1
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affirmation_request = f"Generate an affirmation for someone who is feeling {sentiment.lower()}."
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try:
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response = openai.Completion.create(
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engine="text-davinci-003",
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prompt=affirmation_request,
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max_tokens=20,
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n=1
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