Change the Space to become a service accepting input

app.py

@@ -1,39 +1,7 @@
-import streamlit as st
 from transformers import pipeline
-import docx
-#from datasets import load_dataset
 
-file_path = "Adrega_P.I._User_Manual.docx"
-#def read_docx(file_path):
-#    doc = docx.Document(file_path) 
-#    text = [] 
-#    for paragraph in doc.paragraphs: 
-#        text.append(paragraph.text) 
-#    return "\n".join(text)
-
-#pipe = pipeline("question-answering")
-#pipe = pipeline("text-generation")
-#pipe = pipeline("question-answering", model="deepset/roberta-base-squad2")
-#pipe = pipeline("text-generation", model="Qwen/Qwen2.5-Coder-32B-Instruct")
-pipe = pipeline("text2text-generation")
-
-st.title("Adrega AI Help")
-#dataset = load_dataset("andreska/adregadocs", split="test")
-#context = read_docx(file_path)
-#context = dataset[0]["text"]
-context = "Adrega is a very cool company, that implements AI. Rett fra Rio is a company that specializes in body waxing and is owned by Cintia" #dataset[0]["text"]
-
-user_input = st.text_input('Ask me a question')
-if st.button("Submit"): 
-    if user_input: 
-        #answer = pipe(f"Context: {context}\nQuestion: {user_input}\nAnswer:")
-        answer = pipe("question: What is 42 ? context: 42 is the answer to life, the universe and everything")
-        #result = pipe(text_inputs, max_length=200, num_return_sequences=1)[0]['generated_text']
-        #answer = result.split("Answer:")[1].strip()
-        #answer = pipe(question=user_input, context=context)
-
-        st.write(f"Adrega AI: {answer[0]['generated_text']}")
-        #st.write(f"Adrega AI: {answer}")
-    else: 
-        st.write("Please enter a question.")
-        
+def analyze_project(project_data, question):
+  nlp = pipeline("text-generation", model="gpt2")
+  prompt = f"Analyze this project: {project_data}\n\nQuestion: {question}"
+  output = nlp(prompt, max_length=50, num_return_sequences=1)
+  return output[0]['generated_text']