Update app.py

app.py

@@ -1,8 +1,6 @@
-import gradio as gr
 from fastapi import FastAPI, Request
 from transformers import pipeline
 import uvicorn
-import json
 
 # Initialize sentiment analysis pipeline
 sentiment_analyzer = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
@@ -65,22 +63,6 @@ async def calculate_scores(request: Request):
     except Exception as e:
         return {"error": str(e)}, 400
 
-# Gradio interface for testing
-def test_api(logs_json):
-    try:
-        logs = json.loads(logs_json)
-        result = calculate_scores(logs)
-        return json.dumps(result, indent=2)
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-gr.Interface(
-    fn=test_api,
-    inputs=gr.Textbox(label="Enter Logs JSON", placeholder='[{"log_type": "Quality", "quality_score": 80, "feedback": "Great work!"}]'),
-    outputs=gr.Textbox(label="Scores"),
-    title="Subcontractor Scoring API Tester"
-).launch()
-
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=7860)