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.github/workflows/update_space.yml

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+name: Run Python script
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.9'
+
+    - name: Install Gradio
+      run: python -m pip install gradio
+
+    - name: Log in to Hugging Face
+      run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
+
+    - name: Deploy to Spaces
+      run: gradio deploy

README.md

@@ -1,12 +1,6 @@
 ---
-title: Misleading Finall
-emoji: 🌖
-colorFrom: indigo
-colorTo: blue
-sdk: gradio
-sdk_version: 4.18.0
+title: misleading_finall
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 3.44.4
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.keys import Keys
+from selenium.webdriver.common.by import By
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+from gradio_client import Client
+import json
+import gradio as gr
+
+def scrape_data(amazon_url):
+    chrome_options = Options()
+    chrome_options.add_argument("--headless")
+    driver = webdriver.Chrome(options=chrome_options)
+
+    driver.get(amazon_url)
+
+    amazon_title_element = WebDriverWait(driver, 5).until(
+        EC.presence_of_element_located((By.ID, 'productTitle'))
+    )
+    amazon_title = amazon_title_element.text.strip()
+
+    amazon_desc_element = driver.find_element(By.ID, 'feature-bullets')
+    amazon_desc = amazon_desc_element.text.strip()
+
+    driver.get(f'https://www.flipkart.com/search?q={"+".join(amazon_title.split()[:6])}')
+    
+    flipkart_url = ''
+    elements = driver.find_elements(By.CLASS_NAME, '_2rpwqI')
+    for element in elements:
+        text_content = element.get_attribute('href')
+        if amazon_title.split()[0].lower() in text_content:
+            flipkart_url = text_content
+            break
+
+    if not flipkart_url:
+        elements = driver.find_elements(By.CLASS_NAME, '_1fQZEK')
+        for element in elements:
+            text_content = element.get_attribute('href')
+            if amazon_title.split()[0].lower() in text_content:
+                flipkart_url = text_content
+                break
+    
+    if(flipkart_url.find('flipkart.com') == -1):
+        flipkart_url = 'https://www.flipkart.com' + flipkart_url
+
+    driver.get(flipkart_url)
+    final_elements = driver.find_elements(By.CLASS_NAME, '_2418kt')
+    flipkart_desc = ''
+    for element in final_elements:
+        flipkart_desc = element.text
+
+    driver.quit()
+
+    return amazon_desc, flipkart_desc
+
+def compare_descriptions(amazon_url):
+    client = Client("https://atulit23-google-flan-t5.hf.space/")
+
+    print(amazon_url)
+
+    amazon_desc, flipkart_desc = scrape_data(amazon_url)
+
+    description_to_compare = "First description: " + amazon_desc + " " + "Second Description: " + flipkart_desc + " As you can see I have provided you with two descriptions. Compare these two descriptions to see if for the same field some different information has been provided. Answer in yes or no."
+
+    print(description_to_compare)
+
+    result = client.predict(
+        description_to_compare,
+        api_name="/predict"
+    )
+
+    final_result = {"Amazon": amazon_desc, "Flipkart": flipkart_desc, "result": ""}
+    if result.find("yes") != -1:
+        final_result["result"] = "Mismatch Detected between the descriptions at Amazon & Flipkart."
+    else:
+        final_result["result"] = "No Mismatch Detected between the descriptions at Amazon & Flipkart."
+
+    return json.dumps(final_result)
+
+
+inputs_image_url = [
+    gr.Textbox(type="text", label="Topic Name"),
+]
+
+outputs_result_dict = [
+    gr.Textbox(type="text", label="Result"),
+]
+
+interface_image_url = gr.Interface(
+    fn=compare_descriptions,
+    inputs=inputs_image_url,
+    outputs=outputs_result_dict,
+    title="Text Generation",
+    cache_examples=False,
+)
+
+gr.TabbedInterface(
+    [interface_image_url],
+    tab_names=['Some inference']
+).launch()

requirements.txt

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+Flask
+selenium
+gradio
+chromedriver-autoinstaller
+gradio_client
+uvicorn
+gunicorn