Create app.py

app.py

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+import gradio as gr
+import os
+from openai import OpenAI
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Set up OpenAI API key
+api_key = os.getenv("OPENAI_API_KEY")  # Ensure you have the OpenAI API key in .env
+client = OpenAI(api_key=api_key)
+
+# Function to query OpenAI for content summary
+def generate_summary(text, model="gpt-4o-mini"):
+    try:
+        # Call OpenAI's API for text summarization
+        response = client.chat.completions.create(
+            model=model,
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant. Please summarize the following content."},
+                {"role": "user", "content": text}
+            ]
+        )
+        return response.choices[0].message.content # Direct access to the message content
+    except Exception as e:
+        return f"Error: {e}"
+
+# Gradio app layout
+with gr.Blocks() as demo:
+    gr.Markdown("# Content Summarizer")
+    gr.Markdown("### Upload a text file or paste text, and the app will generate a summary for you.")
+    
+    # File upload
+    file_upload = gr.File(label="Upload Text File", type="filepath")
+    
+    # Text input area
+    text_input = gr.Textbox(label="Or Paste Your Text Here", lines=100)
+    
+    # Output area for the summary
+    summary_output = gr.Textbox(label="Summary", lines=5)
+    
+    # Button to generate the summary
+    generate_button = gr.Button("Generate Summary")
+    
+    # Logic to handle file input or text input and generate the summary
+    def handle_input(file, text):
+        if file is not None:
+            # Read the uploaded file
+            text = file.name.read().decode("utf-8")
+        
+        if text.strip():
+            # Generate summary
+            summary = generate_summary(text)
+            return summary
+        else:
+            return "Please enter some text to summarize."
+
+    generate_button.click(fn=handle_input, inputs=[file_upload, text_input], outputs=summary_output)
+
+# Launch the Gradio app
+demo.launch()