Delete model_consumer.py

model_consumer.py

@@ -1,33 +0,0 @@
-import streamlit as st
-from transformers import pipeline
-
-# model repo ID
-model_id = "prd101-wd/phi1_5-bankingqa-merged"
-
-# Load model only once
-@st.cache_resource
-def load_model():
-    return pipeline("question-answering", model=model_id)
-                    
-# Create a text generation pipeline
-pipe = load_model()
-
-# Streamlit UI
-st.title("Banking HelpDesk from Finetuned Phi1-5")
-
-st.markdown("Ask a question and the fine-tuned Phi-1.5 model will answer.")
-
-user_input = st.text_area("Your question:", height=100)
-
-if st.button("Ask"):
-    if user_input.strip():
-        # Format the prompt like Alpaca-style
-        prompt = f"### Instruction:\n{user_input}\n\n### Response:\n"
-        output = pipe(prompt, max_new_tokens=200, do_sample=True)[0]["generated_text"]
-
-        # Extract only the model's response (remove prompt part if included in output)
-        answer = output.split("### Response:")[-1].strip()
-        st.markdown("### HelpdeskBot Answer:")
-        st.success(answer)
-    else:
-        st.warning("Please enter a question.")