added application files

app.py

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+import gradio as gr
+import cv2
+from PIL import Image
+import google.generativeai as genai
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+api_key = os.getenv('api_key')
+genai.configure(api_key=api_key)
+
+def extract_frames(video_path, fps=30):
+    frames = []
+    cap = cv2.VideoCapture(video_path)
+
+    if not cap.isOpened():
+        raise ValueError("Error: Unable to open video file.")
+
+    original_fps = cap.get(cv2.CAP_PROP_FPS)
+    if original_fps == 0:
+        raise ValueError("Error: Unable to retrieve FPS from video file.")
+    
+    frame_interval = int(original_fps // fps)
+    frame_count = 0
+    success, frame = cap.read()
+    
+    while success:
+        if frame_count % frame_interval == 0:
+            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            pil_image = Image.fromarray(frame)
+            frames.append(pil_image)
+        frame_count += 1
+        success, frame = cap.read()
+    
+    cap.release()
+    if len(frames) == 0:
+        raise ValueError("Error: No frames extracted from the video.")
+    
+    return frames
+
+def generate_prompt(button_list):
+    button_descriptions = ", ".join(button_list)
+    return (
+        f"Generate structured test cases for the following UI button(s): {button_descriptions}.\n\n"
+        "Functionality\n"
+        "- What the button is supposed to do.\n\n"
+        "Preconditions\n"
+        "- Any requirements before interaction.\n\n"
+        " Test Steps\n"
+        "- Concise steps for executing the test.\n\n"
+        "Expected Results\n"
+        "- What the expected outcome should be.\n\n"
+        "Automated Testing Tools\n"
+        "- Recommended tools for testing.\n\n"
+        "Format the output clearly for easy readability, using bullet points for key details."
+    )
+
+
+def process_video(video_file, buttons_to_test):
+    try:
+        video_path = "uploaded_video.mp4"
+        with open(video_path, "wb") as f:
+            f.write(video_file) 
+        
+        # Extract frames
+        frames = extract_frames(video_path, fps=30)
+        button_list = [button.strip() for button in buttons_to_test.split(",")]
+        prompt = generate_prompt(button_list)
+        model = genai.GenerativeModel(model_name="gemini-1.5-pro-latest")
+        response = model.generate_content([prompt])
+        
+        output_text = response.text if hasattr(response, 'text') else "Error: Invalid response from the model."
+        output_text = output_text.replace("Functionality", "📋 Functionality")
+        output_text = output_text.replace("Preconditions", "🔍 Preconditions")
+        output_text = output_text.replace("Test Steps", "📝 Test Steps")
+        output_text = output_text.replace("Expected Results", "✅ Expected Results")
+        output_text = output_text.replace("Automated Testing Tools", "🛠️ Automated Testing Tools")
+        
+        return output_text
+    
+    except Exception as e:
+        return str(e)
+
+iface = gr.Interface(
+    fn=process_video,
+    inputs=[
+        gr.File(label="Upload Video", type="binary"),
+        gr.Textbox(label="Buttons/Functions to Test (comma-separated)", placeholder="e.g., booking, cancel"),
+    ],
+    outputs="text",
+    title="UI Test Case Generator",
+    description="Upload a video and specify the buttons you want to test. The tool will generate structured test cases."
+)
+
+iface.launch(share=True)
+
+

requirements.txt

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+gradio
+python-dotenv
+opencv-python
+pillow
+google-generativeai