Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_dir = "./"  # your model folder
+tokenizer = AutoTokenizer.from_pretrained(model_dir)
+model = AutoModelForCausalLM.from_pretrained(model_dir)
+
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer, device=0 if torch.cuda.is_available() else -1)
+
+def generate_answer(prompt):
+    output = generator(prompt, max_length=100, do_sample=True, top_p=0.95, temperature=0.7)
+    return output[0]['generated_text']
+
+gr.Interface(fn=generate_answer, inputs="text", outputs="text", title="Medical Chatbot").launch()