Update README.md

README.md

@@ -1,78 +1,10 @@
-# ask-question-image-web-app-streamlit-langchain
-
-
-<p align="center">
-<a href="https://www.youtube.com/watch?v=71EOM5__vkI">
-    <img width="600" src="https://utils-computervisiondeveloper.s3.amazonaws.com/thumbnails/with_play_button/ask_question_image.jpg" alt="Watch the video">
-    </br>Watch on YouTube: Ask questions to an image using Python, Streamlit and Langchain !
-</a>
-</p>
-
-This is a Streamlit application that allows users to ask questions about an uploaded image and receive responses from a conversational AI agent. The agent uses the OpenAI GPT-3.5 Turbo model to generate answers based on the provided image and user input.
-
-## installation
-
-1. Clone the repository:
-
-        git clone https://github.com/your-username/image-question-answering.git
-        
-2. Change to the project directory:
-
-        cd  ask-question-image-web-app-streamlit-langchain
-        
-3. Install the required dependencies:
-
-        pip install -r requirements.txt
-
-4. Obtain an **OpenAI API key**. You can sign up for an API key at [OpenAI](https://platform.openai.com).
-
-5. Replace the placeholder API key in the main.py file with your actual OpenAI API key:
-
-        llm = ChatOpenAI(
-            openai_api_key='YOUR_API_KEY',
-            temperature=0,
-            model_name="gpt-3.5-turbo"
-        )
-
-6. Run the Streamlit application:
-
-        streamlit run main.py
-
-7. Open your web browser and go to http://localhost:8501 to access the application.
-
-## usage
-
-1. Upload an image by clicking the file upload button.
-
-2. The uploaded image will be displayed.
-
-3. Enter a question about the image in the text input field.
-
-4. The conversational AI agent will generate a response based on the provided question and image.
-
-5. The response will be displayed below the question input.
-
-## tools
-
-The application utilizes the following custom tools:
-
-- **ImageCaptionTool**: Generates a textual caption for the uploaded image.
-- **ObjectDetectionTool**: Performs object detection on the uploaded image and identifies the objects present.
-
-## contributing
-
-Contributions are welcome! If you have any ideas, improvements, or bug fixes, please submit a pull request.
-
-## license
-
-This project is licensed under the MIT License.
-
-## acknowledgements
-
-This project uses the OpenAI GPT-3.5 Turbo model. Visit [OpenAI](https://openai.com/) for more information.
-
-The Streamlit library is used for building the interactive user interface. Visit the [Streamlit documentation](https://docs.streamlit.io/) for more information.
-
-The LangChain library is used for managing the conversational AI agent and tools. Visit the [LangChain GitHub repository](https://github.com/hwchase17/langchain) for more information.
-    
-The Transformers library is used to inference the AI features. Visit [this](https://huggingface.co/Salesforce/blip-image-captioning-large) and [this](https://huggingface.co/facebook/detr-resnet-50) pages for a more comprehensive description of the models used.
+---
+title: Ask To Image
+emoji: 🚀
+colorFrom: 'green'
+colorTo: 'blue'
+sdk: streamlit
+sdk_version: 4.11.3
+app_file: my_app.py
+pinned: true
+---