Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load the Hugging Face model
+model_name = "adeel300/QA_T5_small"
+nlp = pipeline("text-generation", model=model_name)
+
+# Streamlit app
+st.title("Hugging Face Model Inference")
+
+st.write("Enter your text below and get the model's response.")
+
+# Input text
+input_text = st.text_area("Input Text", value="", height=200)
+
+if st.button("Generate Response"):
+    if input_text:
+        with st.spinner("Generating response..."):
+            response = nlp(input_text)
+            st.success("Response generated!")
+            st.text_area("Response", value=response[0]['generated_text'], height=200)
+    else:
+        st.warning("Please enter some text to generate a response.")