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razanalsulami
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707c991
Update app.py
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app.py
CHANGED
@@ -1,12 +1,12 @@
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import gradio as gr
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from transformers import pipeline
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# Load
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sentiment_analysis = pipeline("sentiment-analysis", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
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# Function to analyze user's mood based on input
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def analyze_mood(user_input):
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# Analyze the mood from
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result = sentiment_analysis(user_input)[0]
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# Define mood and suggestion based on sentiment analysis
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if result["label"] == "POSITIVE":
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@@ -22,9 +22,7 @@ def analyze_mood(user_input):
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# Return mood and suggestion
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return "Your mood is: " + mood, suggestion
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# Define Gradio interface inputs and outputs directly without the '.inputs' or '.outputs' module
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inputs = gr.Textbox(label="How are you feeling today?", placeholder="Type your thoughts here...")
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outputs = gr.Textbox(label="Mood and Suggestion")
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gr.Interface(fn=analyze_mood, inputs=inputs, outputs=outputs, title="Mood Analyzer").launch()
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import gradio as gr
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from transformers import pipeline
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# Load sentiment analysis pipeline
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sentiment_analysis = pipeline("sentiment-analysis", model="distilbert/distilbert-base-uncased-finetuned-sst-2-english")
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# Function to analyze user's mood based on input
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def analyze_mood(user_input):
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# Analyze the mood from input text
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result = sentiment_analysis(user_input)[0]
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# Define mood and suggestion based on sentiment analysis
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if result["label"] == "POSITIVE":
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# Return mood and suggestion
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return "Your mood is: " + mood, suggestion
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inputs = gr.Textbox(label="How are you feeling today?", placeholder="Type your thoughts here...")
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outputs = gr.Textbox(label="Mood and Suggestion")
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gr.Interface(fn=analyze_mood, inputs=inputs, outputs=outputs, title="Mood Analyzer").launch()
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