Update app.py

app.py

@@ -62,25 +62,13 @@ def generate_gemini_response(input_prompt, text_input, image_loc):
     response = model.generate_content(prompt_parts)
     return response.text
 
-input_prompt = """You are an advanced AI model specializing in generating engaging and contextually relevant captions or post content for social media platforms. 
-Given the context and an uploaded image, your task is to create a captivating caption or post content that resonates with the selected social media platform's audience.
-Please analyze the provided image and the contextual description carefully. Use the following guidelines based on the social media platform specified:
-
-1. **Instagram**: Focus on visually appealing, inspirational, and trendy content. Use relevant hashtags.
-2. **Facebook**: Craft engaging and personal stories or updates. Aim for a friendly and conversational tone.
-3. **Twitter**: Create concise, witty, and impactful tweets. Utilize popular hashtags and mentions.
-4. **LinkedIn**: Develop professional and insightful posts. Emphasize expertise, industry relevance, and networking.
-5. **Pinterest**: Write creative and informative descriptions. Highlight the aesthetic and practical aspects.
-
-Output should be one after another caption/post (bulleted in case of more than 1)
-
-The prompted message is: """
+input_prompt = """ Give the plate and the color of the car """
 
 def upload_file(files, text_input, social_media_platform, num_captions=1):
     if not files:
         return None, "Image not uploaded"
     file_paths = [file.name for file in files]
-    response = generate_gemini_response(input_prompt + f"\nPlatform: {social_media_platform}\n"+ f"Number of Captions/Posts: {num_captions}\n", text_input, file_paths[0])
+    response = generate_gemini_response(input_prompt + f"Number of Captions/Posts: {num_captions}\n", text_input, file_paths[0])
     return file_paths[0], response
 
 with gr.Blocks() as demo: