Changed Summerizer Model

app.py

@@ -3,7 +3,7 @@ from transformers import pipeline
 
 # Load the sentiment analysis, keyword extraction, and text summarization models from Hugging Face
 sentiment_model = pipeline("sentiment-analysis")
-summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+summarizer = pipeline("summarization", model="knkarthick/MEETING_SUMMARY")
 keyword_extraction_model = pipeline(
     "text2text-generation", model="transformer3/keywordextractor"
 )
@@ -27,13 +27,12 @@ def analyze_text(text):
     summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
 
     # return f"Sentiment: {sentiment}, Score: {sentiment_score}\nKeywords: {keywords}\nSummary: {summary}"
-    # return {
-    #     "sentiment": sentiment,
-    #     "sentiment_score": sentiment_score,
-    #     "keywords": keywords,
-    #     "summary": summary,
-    # }
-    return "test String Only"
+    return {
+        "sentiment": sentiment,
+        "sentiment_score": sentiment_score,
+        "keywords": keywords,
+        "summary": summary,
+    }
 
 # Create the Gradio interface
 iface = gr.Interface(fn=analyze_text, inputs="text", outputs="text")