Deploy from GitHub: c19a77175311b0b5be08b3bd1c615146046d62c5

app.py

@@ -1,5 +1,14 @@
-from transformers.tools.base import launch_gradio_demo
-from sentiment_analysis import SentimentAnalysisTool
+import gradio as gr
+from sentiment_analysis import sentiment_analysis_tool
 
-# Version: 1.1.4 - Testing authenticated HF clone
-launch_gradio_demo(SentimentAnalysisTool)
+# Version: 1.1.5 - Fixed deprecated transformers.tools import
+iface = gr.Interface(
+    fn=sentiment_analysis_tool.predicto,
+    inputs=gr.Textbox(lines=3, label="Enter text to analyze"),
+    outputs=gr.Label(label="Sentiment Analysis Results"),
+    title="Sentiment Analysis Tool",
+    description="Analyzes the sentiment of text using DistilBERT model"
+)
+
+if __name__ == "__main__":
+    iface.launch()

sentiment_analysis.py

@@ -1,13 +1,12 @@
 import requests
 import gradio as gr
 from transformers import pipeline
-from transformers import Tool
 
-class SentimentAnalysisTool(Tool):
+class SentimentAnalysisTool:
     name = "sentiment_analysis"
     description = "This tool analyses the sentiment of a given text input."
 
-    inputs = ["text"]  # Adding an empty list for inputs
+    inputs = ["text"]
     outputs = ["json"]
     
     model_id_1 = "nlptown/bert-base-multilingual-uncased-sentiment"
@@ -41,6 +40,3 @@ class SentimentAnalysisTool(Tool):
 
 # Create an instance of the SentimentAnalysisTool class
 sentiment_analysis_tool = SentimentAnalysisTool()
-
-# Create the Gradio interface
-gr.Interface(fn=sentiment_analysis_tool, inputs=sentiment_analysis_tool.inputs, outputs=sentiment_analysis_tool.outputs).launch()