pipeline("text-generation", model="Writer/Palmyra-Med-70B-32K")

app.py

@@ -1,11 +1,11 @@
 import gradio as gr
 from transformers import pipeline
 
-generator = pipeline("summarization", model="Falconsai/medical_summarization")
+generator = pipeline("text-generation", model="Writer/Palmyra-Med-70B-32K")
 
 def generate_response(input_text):
     response = generator(input_text, max_length=50)
     return response[0]['generated_text1']
 
 interface = gr.Interface(fn=generate_response, inputs="text", outputs="text")
-interface.launch(share=True)
+interface.launch()