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Verified signatureimport streamlit as st from transformers import pipeline import requests # Load OCR model for extracting text from images @st.cache_resource def load_ocr_model(): return pipeline("image-to-text", model="Salesforce/blip-image-captioning-base") # Function to interact with ChatGPT API def chat_with_gpt(prompt): api_key = st.secrets["OPENAI_API_KEY"] url = "https://api.openai.com/v1/completions" headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json", } data = { "model": "text-davinci-003", "prompt": prompt, "max_tokens": 1000, "temperature": 0.7, } response = requests.post(url, headers=headers, json=data) if response.status_code == 200: return response.json().get("choices")[0].get("text", "").strip() else: st.error(f"Error from OpenAI: {response.status_code}") return None # Streamlit App def main(): st.title("Image-to-Text with ChatGPT") s…8d629ac