Upload moodify_py.py

moodify_py.py

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+# -*- coding: utf-8 -*-
+"""Moodify.py
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1VpLXuEmWDVSNDSPi9xAbZqJ41OkvoHJ0
+"""
+
+!pip install transformers gradio
+
+import torch
+print(torch.cuda.is_available())  # True dönerse GPU kullanıma hazırdır
+
+from transformers import pipeline
+import gradio as gr
+
+# Hugging Face modelini yükleyin
+sentiment_model = pipeline("sentiment-analysis")
+
+# Modeli çalıştıracak bir fonksiyon tanımlayın
+def analyze_sentiment(text):
+    result = sentiment_model(text)[0]
+    label = result['label']
+    score = result['score']
+    return f"Sentiment: {label} (Confidence: {score:.2f})"
+
+# Gradio arayüzü
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(label="Enter Text"),
+    outputs=gr.Textbox(label="Sentiment Analysis Result")
+)
+
+# Arayüzü başlatın
+interface.launch(share=True)
+
+!pip install transformers gradio
+
+from transformers import pipeline
+import gradio as gr
+
+# Hugging Face modelini yükleyin
+sentiment_model = pipeline("sentiment-analysis")
+
+# Modeli çalıştıracak bir fonksiyon tanımlayın
+def analyze_sentiment(text):
+    result = sentiment_model(text)[0]
+    label = result['label']
+    score = result['score']
+    return f"Sentiment: {label} (Confidence: {score:.2f})"
+
+# Gradio arayüzü
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(label="Enter Text"),
+    outputs=gr.Textbox(label="Sentiment Analysis Result")
+)
+
+# Arayüzü başlatın
+interface.launch(share=True)