add files

app.py

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+import streamlit as st
+from transformers import pipeline
+
+st.title("AI text-gen Web-app")
+st.write("This is a auto-complete/text generation web-app powered by GPT-neo. GPT-Neo 125M is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 125M represents the number of parameters of this particular pre-trained model.")
+
+# instantiate the model / download
+@st.cache(allow_output_mutation=True)
+def load_model():
+  generator = pipeline('text-generation', model='EleutherAI/gpt-neo-125M')
+  return (generator)
+
+generator=load_model()
+
+min_length=st.slider(
+  'Specify Min length of the text of want to be generated', 
+  10, 100, 20)
+max_length=st.slider(
+  'Specify Max length of the text of want to be generated', 
+  20, 150, 30)
+
+# create a prompt text for the text generation 
+prompt_text = st.text_input(
+  label = "Type some text here and this model will generate more....",
+  value="We live in a society")
+
+
+if(max_length<=min_length):
+  st.error("max_length cannot be less than equal to min_length")
+else:
+  with st.spinner("AI is at Work........"):
+    gpt_text = generator(
+      prompt_text, 
+      min_length=min_length, 
+      max_length=max_length, 
+      do_sample=True)[0]["generated_text"]
+    st.success("Successfully generated the below text:")
+    st.write(gpt_text)

requirements.txt

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+torch==1.12.0
+transformers==4.19.4
+streamlit==1.13.0