Create app.py

app.py

@@ -0,0 +1,21 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+checkpoint_name="ArmelR/starcoder-gradio-v0"
+model = AutoModelForCausalLM.from_pretrained(checkpoint_name)
+tokenizer = AutoTokenizer.from_pretrained(checkpoint_name)
+
+prompt = "Create a gradio application that help to convert temperature in celcius into temperature in Fahrenheit"
+inputs = tokenizer(f"Question: {prompt}\n\nAnswer: ", return_tensors="pt")
+
+outputs = model.generate(
+  inputs["input_ids"],
+  temperature=0.2,
+  top_p=0.95,
+  max_new_tokens=200
+)
+
+input_len=len(inputs["input_ids"])
+print(tokenizer.decode(outputs[0][input_len:]))
+
+output_text = gr.outputs.Textbox()
+gr.Interface(generate_text,"textbox",output_text,title="Text Generation machine ",description="Ask any question. Note: It can take 20-60 seconds to generate output based on your internet connection.").launch()