├── LICENSE ├── image description.py ├── README.md └── Gemini Image caption Generation.ipynb /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Pavansomisetty21 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /image description.py: -------------------------------------------------------------------------------- 1 | import streamlit as st 2 | import warnings 3 | import google.generativeai as genai 4 | from PIL import Image 5 | 6 | # Constants for text styling 7 | BOLD_BEGIN = "\033[1m" 8 | BOLD_END = "\033[0m" 9 | 10 | # System content for the generative model 11 | system_content = """You are an expert analyzing images and provide accurate descriptions. 12 | You do not make descriptions.""" 13 | 14 | # Set the API key and Gemini model name directly in the code 15 | api_key = "your api key" # Replace with your actual API key 16 | model_name = "gemini-1.5-flash" 17 | 18 | # Ensure the API key is set 19 | if not api_key: 20 | raise ValueError("API_KEY must be set.") 21 | 22 | # Configure the generative AI client 23 | genai.configure(api_key=api_key) 24 | 25 | # ClientFactory class to manage API clients 26 | class ClientFactory: 27 | def __init__(self): 28 | self.clients = {} 29 | 30 | def register_client(self, name, client_class): 31 | self.clients[name] = client_class 32 | 33 | def create_client(self, name, **kwargs): 34 | client_class = self.clients.get(name) 35 | if client_class: 36 | return client_class(**kwargs) 37 | raise ValueError(f"Client '{name}' is not registered.") 38 | 39 | # Register and create the Google generative AI client 40 | client_factory = ClientFactory() 41 | client_factory.register_client('google', genai.GenerativeModel) 42 | 43 | client_kwargs = { 44 | "model_name": model_name, 45 | "generation_config": {"temperature": 0.8}, 46 | "system_instruction": None, 47 | } 48 | 49 | client = client_factory.create_client('google', **client_kwargs) 50 | 51 | # User content for image description 52 | user_content = """Describe this picture, landscape, buildings, country, settings, and art style if any dictated. 53 | Identify any signs and indicate what they may suggest.""" 54 | 55 | # Streamlit app 56 | st.title("Image Description with Google Gemini") 57 | 58 | uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"]) 59 | 60 | if uploaded_file is not None: 61 | # Display the image 62 | image = Image.open(uploaded_file) 63 | st.image(image, caption='Uploaded Image.', use_column_width=True) 64 | st.write("") 65 | 66 | # Generate image description 67 | st.write("Generating description...") 68 | response = client.generate_content([user_content, image], stream=True) 69 | response.resolve() 70 | st.write(f"Image description: {response.text}") 71 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Image-Caption-Generation-using-Gemini 2 | we generate captions to the images which are given by user(user input) using prompt engineering and Generative AI 3 | # zero shot prompting 4 | We use Zero-shot prompting technique in developing the prompt to generate image captions 5 | # Vision Models 6 | Vision models can look at pictures and then tell you what's in them using words. These are called vision-to-text models. They bring together the power of understanding images and language. Using fancy neural networks, these models can look at pictures and describe them in a way that makes sense. They're like a bridge between what you see and what you can read. 7 | 8 | This is super useful for things like making captions for images, helping people who can't see well understand what's in a picture, and organizing information. As these models get even smarter, they're going to make computers even better at understanding and talking about what they "see" in pictures. It's like teaching computers to understand and describe the visual world around us.![image](https://github.com/Pavansomisetty21/Image-Caption-Generation-using-Gemini/assets/110320361/b8b48459-ecfb-42eb-b379-e82543a8334f) 9 | Based on which model we are using like OPENAI,GEMINI(sub models),Anthropic we use respective API KEY and also we use endpoint if necessary 10 | 11 | ➡️Generative model (predefined function) may play a key role in the whole process of development. 12 | # Gemini compared to other Models 13 | Evidence suggests Gemini represents the state-of-the-art in foundation models: 14 | 15 | It achieves record-breaking results on over 56 benchmarks spanning text, code, math, visual, and audio understanding. This includes benchmarks like MMLU, GSM8K, MATH, Big-Bench Hard, HumanEval, Natural2Code, DROP, and WMT23. 16 | 17 | ➡️Notably, Gemini Ultra is the first to achieve human-expert performance on MMLU across 57 subjects with scores above 90%. 18 | 19 | ➡️On conceptual reasoning benchmarks like BIG-Bench, Gemini outperforms expert humans in areas like math, physics, and CS. 20 | 21 | ➡️Specialized versions create state-of-the-art applications like the code generator AlphaCode 2 which solves programming problems better than 85% of human coders in competitions. 22 | 23 | ➡️Qualitative examples show Gemini can manipulate complex math symbols, correct errors in derivations, generate relevant UIs based on conversational context, and more. 24 | # Multi-modal architectures 25 | Google does not disclose details of Gemini architecture. But some multi-modal architectures shared by research community give us some intuitions on how it might work. 26 | The [CLIP architecture](https://openai.com/research/clip), introduced in 2021, uses contrastive learning between images with textual representations, with some distance function like cosine similarity to align the embedding spaces. 27 | ![image](https://github.com/Pavansomisetty21/Image-Caption-Generation-using-Gemini/assets/110320361/936ee54f-8143-4971-ae23-c75625ee545f) 28 | 29 | ➡️[Flamingo](https://arxiv.org/abs/2204.14198) uses a vision encoder pre-trained using CLIP and a [Chinchilla](https://arxiv.org/abs/2203.15556) pre-trained language model to represent the text. It introduces some special components — the Perceiver Resampler and a special Gated cross-attention — to combine those interleaved multi-modal representations, and is trained to predict next tokens. Flamingo can perform visual question answering or conversations around that content. 30 | ![image](https://github.com/Pavansomisetty21/Image-Caption-Generation-using-Gemini/assets/110320361/99b19882-8e9f-4ee7-abbf-cdfae495f99c) 31 | The above diagram represents that examples of visual dialogue from Flamingo paper 32 | 33 | ## Captioning and Filtering (CapFilt) 34 | 35 | ![Image](https://thepythoncode.com/media/articles/visual-question-answering-with-transformers-in-python/img002.webp) 36 | 37 | __________________________________________Image from the [original BLIP paper.](https://arxiv.org/abs/2201.12086)______________________ 38 | 39 | Since current models require massive amounts of data, it isn't easy to get high-quality data due to high annotation costs. CapFilt is a new method to improve the quality of the text corpus. It introduces two modules both of which are initialized from the same pre-trained objective and fine-tuned individually on the COCO dataset: 40 | 41 | #### Captioner: 42 | It is used to generate captions given the web images. It is an image-grounded text decoder and is fine-tuned with the LM objective to decode texts from given images. 43 | #### Filter: 44 | It is used to remove noisy image-text pairs. The filter is an image-grounded text encoder and is finetuned with the ITC and ITM objectives to learn whether a text matches an image. 45 | The image captioner generates synthetic captions for the web images and the filter removes noisy texts from both the original web texts and the synthetic texts. A key thing to notice is that the human-labeled captions remain as they are (not filtered) and are assumed to be the ground truth. These filtered image-text pairs along with the human-labeled captions form the new dataset which is then used to pre-train a new model. 46 | [ Image Captioning using PyTorch and Transformers in Python.](https://thepythoncode.com/article/image-captioning-with-pytorch-and-transformers-in-python) 47 | 48 | 49 | ## GIT 50 | The Generative Image-to-text Transformer (GIT) is another model designed to unify vision-language tasks such as image/video captioning and question answering. It was proposed by a team of researchers at Microsoft. The GIT model is unique in its simplicity, consisting of just one image encoder and one text decoder under a single language modeling task. 51 | 52 | The GIT model was trained on a massive dataset of 0.8 billion image-text pairs. This large-scale pre-training data and the model size significantly boost the model's performance. The GIT model has achieved impressive performance on numerous challenging benchmarks, even surpassing human performance on the TextCaps benchmark. 53 | 54 | ![Iamge](https://thepythoncode.com/media/articles/visual-question-answering-with-transformers-in-python/img006.webp) 55 | 56 | Image from the [original GIT paper](https://arxiv.org/abs/2205.14100) 57 | 58 | The GIT model consists of an image encoder and a text decoder. 59 | 60 | #### 1.Image encoder: 61 | 62 | It is initialized as a contrastive pre-trained model, which takes a raw image as input and outputs a compact 2D feature map. This feature map is then flattened into a list of features, which are projected into a certain dimension (D) and fed into the text decoder. 63 | #### 2.Text decoder: 64 | 65 | It is a randomly initialized transformer module tasked with predicting the text description. It consists of multiple transformer blocks, each of which is composed of a self-attention layer and a feed-forward layer. The text is tokenized and embedded into D dimensions, followed by the addition of positional encoding and a layer normalization layer. The image features are concatenated with the text embeddings as input to the transformer module. The text begins with a [BOS] token and is decoded in an auto-regressive way until the [EOS] token or the maximum steps are reached. 66 | The entire model is trained using a language modeling task, where the goal is to predict the next word in a sentence given the previous words. 67 | 68 | An important thing to note is that the attention mask is applied such that the text token only depends on the preceding tokens and all image tokens, and image tokens can attend to each other. This is different from a unidirectional attention mask, where not every image token can rely on all other image tokens. 69 | 70 | The above figure also illustrates how the GIT model can be used for VQA from videos as well. To do this, we can first pass the different frames of the video through the image encoder to get the different frame embeddings. Then, we can add the temporal embeddings to the frame embeddings to avoid loss of temporal information and pass the final result to the text decoder. 71 | 72 | 73 | 74 | 75 | ➡️[BLIP-2](https://arxiv.org/abs/2301.12597) also uses pre-trained image and LLM encoders, connected by a Q-Former component. The model is trained for multiple tasks: matching images and text representations with both constrastive learning (like CLIP) and with binary classification task. It is also trained on images caption generation. 76 | The illustration for this paper will be as ![image](https://github.com/Pavansomisetty21/Image-Caption-Generation-using-Gemini/assets/110320361/73ac1ea8-9778-48e6-8f8d-f0c3516f5afe) 77 | # Examples of Popular VLMs and Their Architectural Choices 78 | Each of the below models represents a unique approach to integrating and aligning text and image data, showcasing the diverse methodologies within the field of VLMs. The choice of architecture and fusion strategy depends largely on the specific application and the nature of the tasks the model is designed to perform. 79 | # [CLIP (Contrastive Language–Image Pretraining)](https://openai.com/research/clip): 80 | Architecture: Uses a transformer for text and a ResNet (or a Vision Transformer) for images. 81 | Fusion Strategy: Late fusion, with a focus on learning a joint embedding space. 82 | Alignment Method: Trained using contrastive learning, where image-text pairs are aligned in a shared embedding space. 83 | # DALL-E: 84 | Architecture: Based on the GPT-3 architecture, adapted to handle both text and image tokens. 85 | Fusion Strategy: Early to intermediate fusion, where text and image features are processed in an intertwined manner. 86 | Alignment Method: Uses an autoregressive model that understands text and image features in a sequential manner. 87 | # VisualBERT: 88 | Architecture: A BERT-like model that processes both visual and textual information. 89 | Fusion Strategy: Intermediate fusion with cross-modal attention mechanisms. 90 | Alignment Method: Aligns text and image features using attention within a transformer framework. 91 | # LXMERT (Learning Cross-Modality Encoder Representations from Transformers): 92 | Architecture: 93 | 94 | Specifically designed for vision-and-language tasks, uses separate encoders for language and vision, followed by a cross-modality encoder. 95 | Fusion Strategy: 96 | 97 | Intermediate fusion with a dedicated cross-modal encoder. 98 | Alignment Method: 99 | 100 | Employs cross-modal attention between language and vision encoders. 101 | # VLM: Differences from Large Language Models (LLMs) 102 | 103 | 104 | Input Modalities: 105 | 106 | VLMs: Handle both visual (images) and textual (language) inputs. 107 | LLMs: Primarily focused on processing and generating textual content. 108 | 109 | Task Versatility: 110 | 111 | VLMs: Capable of tasks that require understanding and correlating information from both visual and textual data, like image captioning, visual storytelling, etc. 112 | LLMs: Specialize in tasks that involve only text, such as language translation, text generation, question answering purely based on text, etc. 113 | Complexity in Integration: VLMs involve a more complex architecture due to the need to integrate and correlate information from two different modalities (visual and textual), whereas LLMs deal with a single modality. 114 | 115 | Use Cases: 116 | 117 | VLMs are particularly useful in scenarios where both visual and textual understanding is crucial, such as in social media analysis, where both image and text content are prevalent. LLMs are more focused on applications like text summarization, chatbots, and content creation where the primary medium is text. 118 | In summary, while both VLMs and LLMs are advanced AI models leveraging deep learning, VLMs stand out for their ability to understand and synthesize information from both visual and textual data, offering a broader range of applications that require multimodal understanding. 119 | Connecting Vision and Language Via VLMs 120 | Vision-Language Models (VLMs) are designed to understand and generate content that combines both visual and textual data. To effectively integrate these two distinct modalities—vision and language—VLMs use specialized mechanisms, such as adapters and linear layers. 121 | This section details popular building blocks that various VLMs utilize to link visual and language input. Let’s delve into how these components work in the context of VLMs. 122 | Adapters/MLPs/Fully Connected Layers in VLMs 123 | 124 | # Overview 125 | Vision-Language Models (VLMs) integrate both visual (image) and textual (language) information processing. They are designed to understand and generate content that involves both images and text, enabling them to perform tasks like image captioning, visual question answering, and text-to-image generation. 126 | This primer offers an overview of their architecture and how they differ from Large Language Models (LLMs). 127 | 128 | 129 | 130 | Adapters are small neural network modules inserted into pre-existing models. In the context of VLMs, they facilitate the integration of visual and textual data by transforming the representations from one modality to be compatible with the other. 131 | 132 | Functioning: 133 | 134 | 135 | 136 | Adapters typically consist of a few fully connected layers (put simply, a Multi-Layer Perceptron). They take the output from one type of encoder (say, a vision encoder) and transform it into a format that is suitable for processing by another type of encoder or decoder (like a language model). 137 | 138 | 139 | Role of Linear Layers: 140 | 141 | 142 | Linear layers, or fully connected layers, are a fundamental component in neural networks. In VLMs, they are crucial for processing the output of vision encoders. 143 | 144 | 145 | Processing Vision Encoder Output: 146 | 147 | 148 | After an image is processed through a vision encoder (like a CNN or a transformer-based vision model), the resulting feature representation needs to be adapted to be useful for language tasks. Linear layers can transform these vision features into a format that is compatible with the text modality. 149 | 150 | 151 | Combining Modalities: 152 | 153 | 154 | In a VLM, after processing through adapters and linear layers, the transformed visual data can be combined with textual data. This combination typically occurs before or within the language model, allowing the VLM to generate responses or analyses that incorporate both visual and textual understanding. 155 | 156 | 157 | End-to-End Training: 158 | 159 | 160 | In some advanced VLMs, the entire model, including vision encoders, linear layers, and language models, can be trained end-to-end. This approach allows the model to better learn how to integrate and interpret both visual and textual information. 161 | 162 | 163 | Flexibility: 164 | 165 | 166 | Adapters offer flexibility in model training. They allow for fine-tuning a pre-trained model on a specific task without the need to retrain the entire model. This is particularly useful in VLMs where training from scratch is often computationally expensive. 167 | 168 | In summary, adapters and linear layers in VLMs serve as critical components for bridging the gap between visual and textual modalities, enabling these models to perform tasks that require an understanding of both images and text. 169 | 170 | 171 | -------------------------------------------------------------------------------- /Gemini Image caption Generation.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 21, 6 | "id": "da340030-d4a6-490b-b65e-e222baf20392", 7 | "metadata": {}, 8 | "outputs": [], 9 | "source": [ 10 | "import warnings\n", 11 | "import os\n", 12 | "from dotenv import load_dotenv,find_dotenv\n", 13 | "import google.generativeai as genai" 14 | ] 15 | }, 16 | { 17 | "cell_type": "code", 18 | "execution_count": 22, 19 | "id": "7f3c1924-b914-4e39-8121-19ca26f2acfa", 20 | "metadata": {}, 21 | "outputs": [], 22 | "source": [ 23 | "BOLD_BEGIN = \"\\033[1m\"\n", 24 | "BOLD_END = \"\\033[0m\"" 25 | ] 26 | }, 27 | { 28 | "cell_type": "code", 29 | "execution_count": 23, 30 | "id": "9a891de0-9956-426d-9890-b2d01849d465", 31 | "metadata": {}, 32 | "outputs": [], 33 | "source": [ 34 | "system_content = \"\"\"You are an expert analyzing images and provide accurate descriptions.\n", 35 | "You do not make descriptions.\"\"\"" 36 | ] 37 | }, 38 | { 39 | "cell_type": "code", 40 | "execution_count": 24, 41 | "id": "416557c3-55c8-4d40-99e0-72a49c4741f7", 42 | "metadata": {}, 43 | "outputs": [ 44 | { 45 | "name": "stdout", 46 | "output_type": "stream", 47 | "text": [ 48 | "Using MODEL=gemini-1.5-flash\n" 49 | ] 50 | } 51 | ], 52 | "source": [ 53 | "# Set the API key and Gemini model name directly in the code\n", 54 | "api_key = \"Ahsdhfhksnsjssjsndjdkdnbfjfk4\"\n", 55 | "model_name = \"gemini-1.5-flash\"\n", 56 | "\n", 57 | "# Ensure the API key is set\n", 58 | "if not api_key:\n", 59 | " raise ValueError(\"API_KEY must be set.\")\n", 60 | "\n", 61 | "# Configure the generative AI client\n", 62 | "genai.configure(api_key=api_key)\n", 63 | "\n", 64 | "print(f\"Using MODEL={model_name}\")" 65 | ] 66 | }, 67 | { 68 | "cell_type": "code", 69 | "execution_count": 25, 70 | "id": "0c5639dc-9daa-4bcc-9f9c-01b7f0ef9a99", 71 | "metadata": {}, 72 | "outputs": [], 73 | "source": [ 74 | "# Define the ClientFactory class to manage API clients\n", 75 | "class ClientFactory:\n", 76 | " def __init__(self):\n", 77 | " self.clients = {}\n", 78 | " \n", 79 | " def register_client(self, name, client_class):\n", 80 | " self.clients[name] = client_class\n", 81 | " \n", 82 | " def create_client(self, name, **kwargs):\n", 83 | " client_class = self.clients.get(name)\n", 84 | " if client_class:\n", 85 | " return client_class(**kwargs)\n", 86 | " raise ValueError(f\"Client '{name}' is not registered.\")" 87 | ] 88 | }, 89 | { 90 | "cell_type": "code", 91 | "execution_count": 26, 92 | "id": "d0f64c19-3d5c-48b0-8527-9246ad886452", 93 | "metadata": {}, 94 | "outputs": [], 95 | "source": [ 96 | "# Register and create the Google generative AI client\n", 97 | "client_factory = ClientFactory()\n", 98 | "client_factory.register_client('google', genai.GenerativeModel)\n", 99 | "\n", 100 | "client_kwargs = {\n", 101 | " \"model_name\": model_name,\n", 102 | " \"generation_config\": {\"temperature\": 0.8},\n", 103 | " \"system_instruction\": None,\n", 104 | "}\n", 105 | "\n", 106 | "client = client_factory.create_client('google', **client_kwargs)" 107 | ] 108 | }, 109 | { 110 | "cell_type": "code", 111 | "execution_count": 27, 112 | "id": "0ea00bf2-9ed0-4ef1-9b01-95dca677271d", 113 | "metadata": {}, 114 | "outputs": [], 115 | "source": [ 116 | "# Function to display image in the notebook\n", 117 | "def display_image(img_path):\n", 118 | " display(IPImage(filename=img_path))" 119 | ] 120 | }, 121 | { 122 | "cell_type": "code", 123 | "execution_count": 31, 124 | "id": "81a22362-9333-47d4-8264-d00ccfb8a042", 125 | "metadata": {}, 126 | "outputs": [], 127 | "source": [ 128 | "# List of image paths to process\n", 129 | "image_paths = [r\"C:\\Users\\Public\\Datasets\\WildAnimals\\WildAnimals\\testImages\\0.jpg\"]\n", 130 | " # ,r\"C:\\Users\\Public\\Datasets\\WildAnimals\\WildAnimals\\testImages\\1.jpg\"]" 131 | ] 132 | }, 133 | { 134 | "cell_type": "code", 135 | "execution_count": 32, 136 | "id": "78e059d4-1f70-4b5d-b5b8-28f718e9540f", 137 | "metadata": {}, 138 | "outputs": [], 139 | "source": [ 140 | "# User content for image description\n", 141 | "user_content = \"\"\"Describe this picture, landscape, buildings, country, settings, and art style if any dictated. \n", 142 | " Identify any signs and indicate what they may suggest.\"\"\"" 143 | ] 144 | }, 145 | { 146 | "cell_type": "code", 147 | "execution_count": 33, 148 | "id": "4643494b-3f0d-4331-ab28-2668c6720632", 149 | "metadata": {}, 150 | "outputs": [ 151 | { 152 | "data": { 153 | "image/jpeg": 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", 154 | "text/plain": [ 155 | "" 156 | ] 157 | }, 158 | "metadata": {}, 159 | "output_type": "display_data" 160 | }, 161 | { 162 | "name": "stdout", 163 | "output_type": "stream", 164 | "text": [ 165 | "Image description: The picture shows a jaguar lying on a large rock. The jaguar is facing to the right, with its head turned to the left, looking towards the viewer. The jaguar's fur is a mixture of black, brown, and yellow spots, which makes it difficult to distinguish its exact color. The jaguar's eyes are closed.\n", 166 | "\n", 167 | "The landscape is a rocky environment, possibly a zoo enclosure. The background is blurred, suggesting a shallow depth of field. \n", 168 | "\n", 169 | "There are no buildings, signs or other humans in the image. The art style is realistic and the photo is well-lit and composed. \n", 170 | "\n", 171 | "\n" 172 | ] 173 | } 174 | ], 175 | "source": [ 176 | "# Process each image\n", 177 | "for image_path in image_paths: \n", 178 | " img = Image.open(image_path)\n", 179 | " display_image(image_path)\n", 180 | " response = client.generate_content([user_content, img], stream=True)\n", 181 | " response.resolve()\n", 182 | " print(f\"Image description: {response.text}\\n\")\n" 183 | ] 184 | }, 185 | { 186 | "cell_type": "code", 187 | "execution_count": 20, 188 | "id": "5835b201-a59e-4c26-9082-38577b7e0248", 189 | "metadata": {}, 190 | "outputs": [ 191 | { 192 | "name": "stdout", 193 | "output_type": "stream", 194 | "text": [ 195 | "Using MODEL=gemini-1.5-flash\n" 196 | ] 197 | }, 198 | { 199 | "data": { 200 | "image/png": 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", 201 | "text/plain": [ 202 | "" 203 | ] 204 | }, 205 | "metadata": {}, 206 | "output_type": "display_data" 207 | }, 208 | { 209 | "name": "stdout", 210 | "output_type": "stream", 211 | "text": [ 212 | "Image description: The image is a close-up portrait of a man dressed as Spider-Man. The man is looking directly at the viewer. He has short brown hair and a goatee. The suit is red with black webbing and blue accents. The suit has a spider logo on the chest. The background is a blurry dark gray. There are no signs or other objects in the image. The art style is realistic. \n", 213 | "\n", 214 | "The image is most likely a still from a movie or television show. The man's expression and the way he is looking at the camera suggest that he is about to do something important. The suit is a well-known costume associated with the superhero Spider-Man. The image is likely part of a larger story that is being told through this visual medium. \n", 215 | "\n", 216 | "\n" 217 | ] 218 | } 219 | ], 220 | "source": [ 221 | "import warnings\n", 222 | "import google.generativeai as genai\n", 223 | "from IPython.display import Image as IPImage, display\n", 224 | "from PIL import Image\n", 225 | "\n", 226 | "BOLD_BEGIN = \"\\033[1m\"\n", 227 | "BOLD_END = \"\\033[0m\"\n", 228 | "\n", 229 | "# System content for the generative model\n", 230 | "system_content = \"\"\"You are an expert analyzing images and provide accurate descriptions.\n", 231 | "You do not make descriptions.\"\"\"\n", 232 | "\n", 233 | "# Set the API key and Gemini model name directly in the code\n", 234 | "api_key = \"AIdjddugakqbgsiebdn4477+_djdhdldlk\"\n", 235 | "model_name = \"gemini-1.5-flash\"\n", 236 | "\n", 237 | "# Ensure the API key is set\n", 238 | "if not api_key:\n", 239 | " raise ValueError(\"API_KEY must be set.\")\n", 240 | "\n", 241 | "# Configure the generative AI client\n", 242 | "genai.configure(api_key=api_key)\n", 243 | "\n", 244 | "print(f\"Using MODEL={model_name}\")\n", 245 | "\n", 246 | "# Define the ClientFactory class to manage API clients\n", 247 | "class ClientFactory:\n", 248 | " def __init__(self):\n", 249 | " self.clients = {}\n", 250 | " \n", 251 | " def register_client(self, name, client_class):\n", 252 | " self.clients[name] = client_class\n", 253 | " \n", 254 | " def create_client(self, name, **kwargs):\n", 255 | " client_class = self.clients.get(name)\n", 256 | " if client_class:\n", 257 | " return client_class(**kwargs)\n", 258 | " raise ValueError(f\"Client '{name}' is not registered.\")\n", 259 | "\n", 260 | "# Register and create the Google generative AI client\n", 261 | "client_factory = ClientFactory()\n", 262 | "client_factory.register_client('google', genai.GenerativeModel)\n", 263 | "\n", 264 | "client_kwargs = {\n", 265 | " \"model_name\": model_name,\n", 266 | " \"generation_config\": {\"temperature\": 0.8},\n", 267 | " \"system_instruction\": None,\n", 268 | "}\n", 269 | "\n", 270 | "client = client_factory.create_client('google', **client_kwargs)\n", 271 | "\n", 272 | "# Function to display image in the notebook\n", 273 | "def display_image(img_path):\n", 274 | " display(IPImage(filename=img_path))\n", 275 | "\n", 276 | "# List of image paths to process\n", 277 | "image_paths = [r\"C:\\Users\\Public\\Datasets\\pavan.png\"]\n", 278 | " # ,r\"C:\\Users\\Public\\Datasets\\WildAnimals\\WildAnimals\\testImages\\1.jpg\"]\n", 279 | "\n", 280 | "# User content for image description\n", 281 | "user_content = \"\"\"Describe this picture, landscape, buildings, country, settings, and art style if any dictated. \n", 282 | " Identify any signs and indicate what they may suggest.\"\"\"\n", 283 | "\n", 284 | "# Process each image\n", 285 | "for image_path in image_paths: \n", 286 | " img = Image.open(image_path)\n", 287 | " display_image(image_path)\n", 288 | " response = client.generate_content([user_content, img], stream=True)\n", 289 | " response.resolve()\n", 290 | " print(f\"Image description: {response.text}\\n\")\n" 291 | ] 292 | }, 293 | { 294 | "cell_type": "code", 295 | "execution_count": null, 296 | "id": "a590e64f-375e-4b85-b024-5fb5935750de", 297 | "metadata": {}, 298 | "outputs": [], 299 | "source": [] 300 | } 301 | ], 302 | "metadata": { 303 | "kernelspec": { 304 | "display_name": "Python 3 (ipykernel)", 305 | "language": "python", 306 | "name": "python3" 307 | }, 308 | "language_info": { 309 | "codemirror_mode": { 310 | "name": "ipython", 311 | "version": 3 312 | }, 313 | "file_extension": ".py", 314 | "mimetype": "text/x-python", 315 | "name": "python", 316 | "nbconvert_exporter": "python", 317 | "pygments_lexer": "ipython3", 318 | "version": "3.9.18" 319 | } 320 | }, 321 | "nbformat": 4, 322 | "nbformat_minor": 5 323 | } 324 | --------------------------------------------------------------------------------