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| import os | |
| import streamlit as st | |
| import docx | |
| from huggingface_hub import InferenceClient | |
| api_key = os.getenv("HF_API_KEY") | |
| client = InferenceClient(api_key=api_key) | |
| 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) | |
| user_input = st.text_input('Ask me a question') | |
| messages = [{"role": "user","content": user_input}] | |
| completion = client.chat.completions.create( | |
| model="Qwen/Qwen2.5-Coder-32B-Instruct", | |
| messages=messages, | |
| max_tokens=500 | |
| ) | |
| if st.button("Submit"): | |
| if user_input: | |
| response = completion.choices[0].message | |
| answer = response['content'] | |
| st.write(f"Adrega AI: {answer}") | |
| else: | |
| st.write("Please enter a question.") | |