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| import gradio as gr | |
| import base64 | |
| from PIL import Image | |
| from groq import Groq | |
| import os | |
| client = Groq(api_key=os.environ.get('GROQ_API_KEY')) | |
| def encode_images(image_paths): | |
| base64_images = [] | |
| for image_path in image_paths: | |
| with open(image_path, "rb") as image_file: | |
| base64_image = base64.b64encode(image_file.read()).decode("utf-8") | |
| base64_images.append(f"data:image/jpeg;base64,{base64_image}") | |
| return base64_images | |
| def resize_images(image_paths, target_size=(224, 224)): | |
| resized_images = [] | |
| for image_path in image_paths: | |
| img = Image.open(image_path) | |
| img_resized = img.resize(target_size) | |
| resized_images.append(img_resized) | |
| return resized_images | |
| def generate_testing_instructions(images, context): | |
| resized_images = resize_images(images) | |
| base64_images = encode_images(images) | |
| completion = client.chat.completions.create( | |
| model="llava-v1.5-7b-4096-preview", | |
| messages=[ | |
| { | |
| "role": "user", | |
| "content": [ | |
| {"type": "image_url", "image_url": {"url": base64_image}}, | |
| {"type": "text", "text": ''' | |
| You're a helpful assistant that creates comprehensive testing instructions. Based on the screenshot of app interface you should tell: | |
| - **Description**: A brief explanation of the feature being tested. | |
| - **Pre-conditions**: The required setup or state of the app before beginning the test. | |
| - **Testing Steps**: A clear, step-by-step guide for performing the test, including any user interactions or actions. | |
| - **Expected Result**: The outcome you should observe if the feature is functioning correctly. | |
| Please demonstrate your approach using the following features of a mobile app: | |
| 1. **Source, Destination, and Date Selection**: The user selects their departure location, destination, and the travel date. | |
| 2. **Bus Selection**: Displays a list of available buses, allowing the user to choose a specific one. | |
| 3. **Seat Selection**: Enables the user to select seats on the chosen bus. | |
| 4. **Pick-up and Drop-off Point Selection**: Allows the user to specify the starting point and final stop for the trip. | |
| 5. **Offers**: Showcases available promotions and discounts. | |
| 6. **Filters**: Options to filter buses by time, price, or other preferences. | |
| 7. **Bus Information**: Provides details about the selected bus, including amenities, photos, and reviews. | |
| '''}, | |
| {"type": "text", "text": context} | |
| ] | |
| } | |
| for base64_image in base64_images | |
| ], | |
| temperature=0, | |
| max_tokens=1024, | |
| top_p=1, | |
| stream=False, | |
| stop=None, | |
| ) | |
| return completion.choices[0].message.content | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## π Red Bus App Testing Instructions Generator") | |
| with gr.Row(): | |
| context = gr.Textbox(label="Optional Context", placeholder="Add any specific instructions or questions...") | |
| image_upload = gr.File(label="Upload Screenshots (PNG or JPG)", type="filepath", file_count="multiple") | |
| output = gr.Textbox(label="Generated Testing Instructions", placeholder="The instructions will appear here...") | |
| button = gr.Button("Describe Testing Instructions") | |
| button.click( | |
| generate_testing_instructions, | |
| inputs=[image_upload, context], | |
| outputs=output | |
| ) | |
| demo.launch(debug=True) |